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Лучшие результаты

  1. Gulnar Sadq,Abbas Younis Al-Bayati and Najmaddin Abdulla Sulaiman. On Neural Network Algorithms for Solving Non- Linear Problems. – М.: LAP Lambert Academic Publishing, 2012. – 156 с.
  2. Ghada Al-Naemi. Modified nonlinear CG algorithms with application in Neural Networks. – М.: LAP Lambert Academic Publishing, 2013. – 152 с.

Дополнительные результаты

  1. G. Peter Zhang. Neural Networks in Business Forecasting. – М.: , 0. – 0 с.
  2. A. D. Zapranis, Apostolos-Paul Refenes. Principles of Neural Model Identification, Selection and Adequacy: With Applications in Financial Econometrics (Perspectives in Neural Computing). – М.: , 0. – 0 с.
  3. Jati K. Sengupta. New Efficiency Theory: With Applications of Data Envelopment Analysis. – М.: , 0. – 0 с.
  4. Christian L. Dunis. Forecasting Financial Markets : Exchange Rates, Interest Rates and Asset Management (Financial Economics and Quantitative Analysis Series). – М.: , 0. – 0 с.
  5. Ravindra K. Ahuja, Thomas L. Magnanti, James B. Orlin. Network Flows: Theory, Algorithms, and Applications. – М.: , 0. – 0 с.
  6. G. Peter Zhang. Neural Networks in Business Forecasting. – М.: , 0. – 0 с.
  7. Stephen Walther, Steve Banick, Jonathan Levine. Sams Teach Yourself E-Commerce Programming with ASP in 21 Days (Teach Yourself -- 21 Days). – М.: Sams, 2000. – 624 с.
  8. G. David Garson, G. David Information Technology and Computer Applications in Garson. Public Information Technology: Policy and Management Issues. – М.: , 0. – 0 с.
  9. Stochastic Modeling and Optimization: With Applications in Queues, Finance, and Supply Chains. – М.: , 2003. – 0 с.
  10. Management Science Application In Tourism And Hospitality (Journal of Travel & Tourism Marketing Monographic "Separates"). – М.: , 2004. – 0 с.
  11. Tutorials on Emerging Methodologies and Applications in Operations Research : Presented at INFORMS 2004, Denver, CO (International Series in Operations Research & Management Science). – М.: , 2004. – 0 с.
  12. Andreas Kyprianou. Introductory Lectures on Fluctuations of LA©vy Processes with Applications (Universitext). – М.: , 2006. – 378 с.
  13. Paul D. McNelis. Neural Networks in Finance: Gaining Predictive Edge in the Market (Academic Press Advanced Finance Series). – М.: , 2004. – 256 с.
  14. Gebhard KirchgA¤ssner. Homo Oeconomicus: The Economic Model of Behaviour and Its Applications in Economics and Other Social Sciences (The European Heritage in Economics and the ... in Economics and the Social Sciences). – М.: , 2008. – 366 с.
  15. Artificial Higher Order Neural Networks for Economics and Business (Premier Reference Source). – М.: , 2008. – 542 с.
  16. Dieter Grass, Jonathan P. Caulkins, Gustav Feichtinger, Gernot Tragler, Doris A. Behrens. Optimal Control of Nonlinear Processes: With Applications in Drugs, Corruption, and Terror. – М.: , 2008. – 552 с.
  17. Edward I. Sidlow, Beth Henschen. GOVT 2010 Edition (with Bind-In Printed Access Card). – М.: , 2009. – 0 с.
  18. Zdenek Dostal. Optimal Quadratic Programming Algorithms: With Applications to Variational Inequalities (Springer Optimization and Its Applications). – М.: , 2009. – 284 с.
  19. Margaret L. Lial, Thomas W. Hungerford, John Holcomb. Mathematics with Applications (10th Edition) (Lial/Hungerford/Holcomb Series). – М.: , 2010. – 1032 с.
  20. Margaret L. Lial, Thomas W. Hungerford, John Holcomb. Finite Mathematics with Applications (10th Edition) (Lial/Hungerford/Holcomb Series). – М.: , 2010. – 704 с.
  21. Willi-Hans Steeb. The Nonlinear Workbook: Chaos, Fractals, Celluar Automata, Neural Networks, Genetic Algorithms, Gene Expression Programming, Support Vector Machine, Wavelets, Hidden Markov M. – М.: World Scientific Publishing Company, 2005. – 588 с.
  22. Color Theory and Its Application in Art and Design (With 55 Figures and 6 Color Plates) (IFIP International Federation for Information Processing). – М.: , 2008. – 248 с.
  23. Larry E. Knop. Linear Algebra: A First Course with Applications (Textbooks in Mathematics). – М.: , 2008. – 752 с.
  24. Artificial Neural Networks: Methods and Applications (Methods in Molecular Biology). – М.: , 2008. – 254 с.
  25. Applications of Neural Networks in High Assurance Systems (Studies in Computational Intelligence). – М.: , 2010. – 280 с.
  26. Subhendu Bikash Hazra. Large-Scale PDE-Constrained Optimization in Applications (Lecture Notes in Applied and Computational Mechanics). – М.: , 2010. – 202 с.
  27. Biomedical Informatics: Computer Applications in Health Care and Biomedicine (Health Informatics). – М.: , 2010. – 1037 с.
  28. M. Ingber, C. A. Brebbia. Applications in High-Performance Computing in Engineering VI (Advances in High Performance). – М.: , 2010. – 491 с.
  29. Raymond H. Myers, Douglas C. Montgomery, G. Geoffrey Vining, Timothy J. Robinson. Generalized Linear Models: with Applications in Engineering and the Sciences (Wiley Series in Probability and Statistics). – М.: , 2010. – 616 с.
  30. Stamatios V. Kartalopoulos. Understanding Neural Networks and Fuzzy Logic. – М.: , 1995. – 232 с.
  31. Scott L. Miller, Donald G. Childers. Probability and Random Processes: With Applications to Signal Processing and Communications. – М.: Рид Элсивер, 2004. – 544 с.
  32. Mineo Kimura. Electron Collisions with Molecules in Gases: Applications to Plasma Diagnostics and Modeling,44. – М.: , 2010. – 315 с.
  33. D.C. Wunsch II. Advances in Neural Network Research: IJCNN 2003. – М.: , 2010. – 434 с.
  34. Riccardo Leardi. Nature-inspired methods in chemometrics: genetic algorithms and artificial neural networks,23. – М.: , 2010. – 402 с.
  35. Stephen T. Welstead. Neural Network and Fuzzy Logic Applications in C/C++. – М.: , 1994. – 0 с.
  36. Stephen T. Welstead. Neural Network and Fuzzy Logic Applications in C/C++. – М.: , 1994. – 494 с.
  37. Stephen T. Welstead. Neural Network and Fuzzy Logic Applications in C/C++. – М.: , 1994. – 494 с.
  38. Michel R. Klein. Knowledge–Based Decision Support Systems With Applications in Business. – М.: , 1995. – 544 с.
  39. Huu Tue Huynh, Van Son Lai, Issouf Soumare. Stochastic Simulation and Applications in Finance with MATLAB Programs. – М.: Wiley, 2008. – 356 с.
  40. Professor Mario Cerrato. The Mathematics of Derivatives Securities with Applications in MATLAB. – М.: , 2011. – 512 с.
  41. AM MATHAI. Mathai H–function With ?applications? In Statistics And Other Disciplines. – М.: , 1978. – 0 с.
  42. John H. Holland. Holland: Adaptation In Natural & Artificial Systems: An Introductory Analysis With Application To Biology, Control, & A.i (cloth). – М.: , 1992. – 228 с.
  43. H HAHN. Hahn Higher Order ?root–locus? Technique With Applications In Control System Design. – М.: , 1981. – 298 с.
  44. John H. Holland. Adaptation in Natural & Artificial Systems – An Introductory Analysis with Application to Biology, Control & A.I (Paper). – М.: , 1992. – 228 с.
  45. Joey Rogers. Object-Oriented Neural Networks in C++. – М.: Morgan Kaufmann, 1996. – 300 с.
  46. Zhazar Toktabolat. Using Artificial Neural Networks in Reservoir Characterization. – М.: Scholars Press, 2013. – 144 с.
  47. Abdulwahab Giwa. Decoupling Neural Network Model Predictive Control. – М.: LAP Lambert Academic Publishing, 2013. – 392 с.
  48. Eduardo Giraldo. Nonlinear time varying model identification in ill-posed problems. – М.: Scholars Press, 2014. – 164 с.
  49. Suresh Jagirdar. Artificial Neural Networks, A Modern Era In Computing. – М.: LAP Lambert Academic Publishing, 2014. – 84 с.
  50. Nicolus Rotich. Wind resource assessment and forecast with artificial neural networks. – М.: LAP Lambert Academic Publishing, 2014. – 96 с.
  51. Adel El Shahat. Artificial Neural Network (ANN). – М.: Scholars Press, 2014. – 192 с.
  52. Zainab Khalid Awan,Aamir Khan and Anam Iftikhar. Hybrid Neural Networks: From Application Point Of View. – М.: LAP Lambert Academic Publishing, 2012. – 68 с.
  53. Selcuk Caylar. A Novel Neural Network Based Direction Of Arrival Estimation Algorithm. – М.: LAP Lambert Academic Publishing, 2010. – 124 с.
  54. Sourav Banerjee and Aritra Ghosh. Neural Networks for Variational Problems in Engineering. – М.: LAP Lambert Academic Publishing, 2012. – 228 с.
  55. Shailendra Kumar Dewangan. Devnagari Handwritten Signature Recognition Using Neural Network. – М.: LAP Lambert Academic Publishing, 2012. – 124 с.
  56. Muna Ali and Luma Tawfiq. Fast Feed Forward Neural Networks to Solve Boundary Value Problems. – М.: LAP Lambert Academic Publishing, 2012. – 120 с.
  57. Jayanta Kumar Basu and Monal Dutta. Application of Artificial Neural Network for Ibuprofen Adsorption. – М.: LAP Lambert Academic Publishing, 2013. – 52 с.
  58. Yujia Zhai and Dingli Yu. Advanced Neural Network based Control for Automotive Engines. – М.: LAP Lambert Academic Publishing, 2012. – 180 с.
  59. Gaurang Panchal and Amit Ganatra. Optimization of Neural Network Parameter using Genetic Algorithm. – М.: LAP Lambert Academic Publishing, 2012. – 92 с.
  60. Shashi Bhushan Rana. Doped and Modified ZnO nanoparticles for optoelectronics application. – М.: LAP Lambert Academic Publishing, 2013. – 196 с.
  61. Amandeep Gill,Manbir kaur and Nirbhowjap Singh. Speed Control of Brushless DC Motor by Neural Network PID Controller. – М.: LAP Lambert Academic Publishing, 2013. – 92 с.
  62. Suhaas Bhargava Ayyagari. Artificial Neural Network Based Fault Location For Transmission Lines. – М.: LAP Lambert Academic Publishing, 2012. – 124 с.
  63. Natalia Gotman,Galina Shumilova and Tatiana Starceva. Electric load forecasting using an artificial neural networks. – М.: LAP Lambert Academic Publishing, 2014. – 100 с.
  64. Mahmoud Al Ashi. Robotic Manipulator Control Using Neural Networks. – М.: LAP Lambert Academic Publishing, 2014. – 100 с.
  65. Uri Dubin. Cross-Entropy Method: Theory with Applications. – М.: LAP Lambert Academic Publishing, 2013. – 148 с.
  66. Reolyn Heymann. Regaining Synchronization with Watermarks and Neural Networks. – М.: LAP Lambert Academic Publishing, 2010. – 136 с.
  67. Mohammed Waseem. Design & Implementation of Feed Forward Neural Network for FIR Filter. – М.: LAP Lambert Academic Publishing, 2013. – 72 с.
  68. P. Praveen Jesudhas,Sanjeev Malalur and Michael T. Manry. Analysis and Improvement of Feed-forward network training. – М.: LAP Lambert Academic Publishing, 2011. – 56 с.
  69. Yudong Zhang. Image Processing via Pulse Coupled Neural Network. – М.: LAP Lambert Academic Publishing, 2012. – 88 с.
  70. SUSMITA DAS. Design of Adaptive Equaliser Structures in Neural Network Paradigm. – М.: LAP Lambert Academic Publishing, 2009. – 216 с.
  71. Sushama Shelke and Shaila Apte. Handwritten Marathi Character Recognition using Neural Networks. – М.: LAP Lambert Academic Publishing, 2012. – 188 с.
  72. Satish Gummadi. Identification of load dynamics using artificial neural networks. – М.: LAP Lambert Academic Publishing, 2012. – 68 с.
  73. Rohit Deshpande. Chaotic Time series prediction: A Neural Network Approach. – М.: LAP Lambert Academic Publishing, 2012. – 56 с.
  74. Billy Tomatsopoulos. The Modified Feedback Decoding Algorithm. – М.: LAP Lambert Academic Publishing, 2010. – 164 с.
  75. Jiamei Deng. Predictive Control of Nonlinear System Based on Neural Networks. – М.: LAP Lambert Academic Publishing, 2011. – 200 с.
  76. Aubai Al khatib,Melih Kurt and Siegfried Heier. The Artificial Neural Networks in the wind energy industry. – М.: LAP Lambert Academic Publishing, 2011. – 196 с.
  77. Avvaru Srinivasulu. FPGA implementation of Hopfield Neural Network. – М.: LAP Lambert Academic Publishing, 2012. – 76 с.
  78. Suriani Ibrahim and Mohd Rafie Johan. Conductivity Studies And Neural Networks Model. – М.: LAP Lambert Academic Publishing, 2013. – 52 с.
  79. Massieh Najafi. Application of Auto-Associative Neural Networks for Sensor Diagnostics. – М.: LAP Lambert Academic Publishing, 2010. – 100 с.
  80. Moayed Daneshyari. Bifurcation and Nonlinear Dynamics in Neural Network. – М.: LAP Lambert Academic Publishing, 2010. – 96 с.
  81. Steve Ling. Genetic Algorithm and Variable Feed-Forward Neural Networks. – М.: LAP Lambert Academic Publishing, 2010. – 252 с.
  82. Seyed Ahmad Noorani. Simulation Of Blasting Induced Ground Vibration Using Neural Network. – М.: LAP Lambert Academic Publishing, 2012. – 124 с.
  83. Arjun C .R. Neural Network-Based Estimation of Strong Ground Motion Parameters. – М.: LAP Lambert Academic Publishing, 2013. – 88 с.
  84. Cruceru Madalina. Radiation Detection Systems With Applications in High Energy Physics. – М.: LAP Lambert Academic Publishing, 2012. – 84 с.
  85. Jagadeesh Anmala. Rainfall-Runoff Modeling Using Artificial Neural Networks. – М.: LAP Lambert Academic Publishing, 2010. – 200 с.
  86. Gholam Hossein Roshani,Farzin Shama and Seyed Amir Hossein Feghhi. Some Applications of Artificial Neural Network in Nuclear Engineering. – М.: LAP Lambert Academic Publishing, 2013. – 84 с.
  87. Kuldeep Pareta. Remote Sensing Application in Forestry. – М.: LAP Lambert Academic Publishing, 2014. – 444 с.
  88. Krishnakumar N. and Umesh Kanna S. Next Generation Sequencing And Its Application In Forestry. – М.: LAP Lambert Academic Publishing, 2014. – 100 с.
  89. Abdelaziz Hamad Elawad,Bahrom Sanugi and Shahariddin Salleh. Neural network and scheduling. – М.: LAP Lambert Academic Publishing, 2011. – 160 с.
  90. Han Lin. Creation of multifocal arrays and their application in nanofabrication. – М.: Scholars' Press, 2013. – 176 с.
  91. Ashok Kumar Rastogi,S Snehlata Arun Lila and Tapesh Ajmera. ANN, SA and GA application in Groundwater Hydrology. – М.: LAP Lambert Academic Publishing, 2011. – 372 с.
  92. Susmita Sen Gupta and Krishna Gopal Bhattacharyya. Interactions of Metals with Clays in Aqueous Suspensions. – М.: LAP Lambert Academic Publishing, 2012. – 692 с.
  93. Xintao Liu. The Scaling of Geographic Space and its Application in Urban Studies. – М.: LAP Lambert Academic Publishing, 2014. – 108 с.
  94. Said Shehata,Omaima Darwish and Yasser Ahmed. Compost and its application in Egypt. – М.: LAP Lambert Academic Publishing, 2012. – 84 с.
  95. Abel Nyamapfene. Unsupervised Multimodal Neural Networks. – М.: LAP Lambert Academic Publishing, 2010. – 176 с.
  96. Alpesh D. Patel,Tarak J. Mehta and Natvarlal M. Patel. Artificial neural network in pharmaceutical research: New prospect. – М.: LAP Lambert Academic Publishing, 2012. – 80 с.
  97. C. Kiruthika. Artificial Neural Network Approach To Certain Classification Problems. – М.: LAP Lambert Academic Publishing, 2014. – 104 с.
  98. Robert Andrawis. Advanced Forecasting Techniques with Application to NN5 Time Series. – М.: LAP Lambert Academic Publishing, 2012. – 132 с.
  99. B.Veera Raghava Reddy,Balasiddamuni Pagadala and G. Mokesh Rayalu. Analysis of Transformations and Their Applications in Statistics. – М.: LAP Lambert Academic Publishing, 2013. – 172 с.
  100. Juli Majumder and Rumana Rois. An Application of Artificial Neural Network Model in GDP Forecasting. – М.: LAP Lambert Academic Publishing, 2013. – 100 с.
  101. Borja Calvo. Positive unlabeled learning with applications in computational biology. – М.: LAP Lambert Academic Publishing, 2010. – 324 с.
  102. Daniele Cassani. Nonlinear Elliptic Systems with Critical Growth. – М.: LAP Lambert Academic Publishing, 2011. – 80 с.
  103. Talat Nazir and Mujahid Abbas. Existence of Solutions of Operator Equations with Applications. – М.: LAP Lambert Academic Publishing, 2012. – 140 с.
  104. Gulnar Sadq,Abbas Younis Al-Bayati and Najmaddin Abdulla Sulaiman. On Neural Network Algorithms for Solving Non- Linear Problems. – М.: LAP Lambert Academic Publishing, 2012. – 156 с.
  105. Yassen Adel and Luma Naji. Design feed forward neural networks for solving ordinary intial value. – М.: LAP Lambert Academic Publishing, 2013. – 132 с.
  106. Bipan Hazarika. Sequence Spaces and Ideal Convergence with Applications. – М.: LAP Lambert Academic Publishing, 2013. – 76 с.
  107. Dinesh Bisht. Artificial Neural Networks. – М.: LAP Lambert Academic Publishing, 2012. – 96 с.
  108. Ghada Al-Naemi. Modified nonlinear CG algorithms with application in Neural Networks. – М.: LAP Lambert Academic Publishing, 2013. – 152 с.
  109. Rajesh Pratap Singh. Permutation Polynomials and their Applications in Cryptography. – М.: LAP Lambert Academic Publishing, 2012. – 92 с.
  110. Hari Mohan Sharma. Applications in Hydrodynamic and Hydromagnetic Stability. – М.: LAP Lambert Academic Publishing, 2012. – 180 с.
  111. Ashraf Adnan Thirthar Hussein and Luma N.M. Tawfiq. Design Fast Feed Forward Neural Networks To Solve SBVP. – М.: LAP Lambert Academic Publishing, 2014. – 212 с.
  112. Reza Habibi. Applications of Statistical Engineering Tools in Financial Time Series. – М.: LAP Lambert Academic Publishing, 2013. – 52 с.
  113. Nirmal Kumar Singh and Ravi Prakash Dubey. Fixed Point Theorems in Topological Spaces with Application to Fratal. – М.: LAP Lambert Academic Publishing, 2014. – 112 с.
  114. Mustapha Muhammad. Artificial Neural Network Control of a Magnetic Levitation System. – М.: LAP Lambert Academic Publishing, 2012. – 112 с.
  115. Yoav Rubin. Looking Inside a Neural Network. – М.: LAP Lambert Academic Publishing, 2012. – 84 с.
  116. Antonella Chesca. Methods for Diseases Diagnostic with Applicability in Practice. – М.: LAP Lambert Academic Publishing, 2014. – 144 с.
  117. Ritu Vijay. Time Series Analysis using Neural Networks. – М.: LAP Lambert Academic Publishing, 2012. – 60 с.
  118. Lih Chieh Png. Morphological Shared-Weight Neural Network for Face Recognition. – М.: LAP Lambert Academic Publishing, 2013. – 176 с.
  119. Mohammad Uruj Jaleel. On Designing Energy Conserving WSN. – М.: LAP Lambert Academic Publishing, 2013. – 168 с.
  120. Hassan Farsi and Pouriya Etezadifar. Time Variable PDF Presented by Neural Network for data Compression. – М.: LAP Lambert Academic Publishing, 2013. – 92 с.
  121. Tiago Mota,Jorgean Leal and Antonio Cezar Lima. Choosing Neural Equalizers Using Genetic Algorithm. – М.: LAP Lambert Academic Publishing, 2015. – 56 с.
  122. Alaa Eddien Abdallah. Routing Algorithms for 3D Ad Hoc Networks. – М.: LAP Lambert Academic Publishing, 2012. – 140 с.
  123. Rajwinder Singh. Efficient File Sharing in P2P Network with TTL Scoped Based Searching. – М.: LAP Lambert Academic Publishing, 2012. – 72 с.
  124. Chakchai So-In. Resource Allocation and Management in Computer Networks. – М.: LAP Lambert Academic Publishing, 2011. – 212 с.
  125. Lekan Amusan. Neural Network-Based Predictive Cost Model for Building Works. – М.: LAP Lambert Academic Publishing, 2012. – 328 с.
  126. Kussay Nugamesh Mutter. Fingerprint Identification using Neural Network and Genetic Algorithm. – М.: LAP Lambert Academic Publishing, 2013. – 120 с.
  127. Pritimoy Sanyal. Application of Intelligent Techniques. – М.: LAP Lambert Academic Publishing, 2011. – 96 с.
  128. Apoorva Kumar Singhal. Neural Network Analysis. – М.: LAP Lambert Academic Publishing, 2012. – 60 с.
  129. Juraj Koscak,Rudolf Jaksa and Peter Sincak. Stochastic Weight Update in Neural Networks. – М.: LAP Lambert Academic Publishing, 2012. – 104 с.
  130. Lyn Rees. A Hydrodynamic Neural Network Model For The River Thames. – М.: LAP Lambert Academic Publishing, 2012. – 304 с.
  131. Rajasvaran Logeswaran. Predictive Artificial Neural Networks. – М.: LAP Lambert Academic Publishing, 2010. – 216 с.
  132. Stefan Schliebs. Optimisation and Modelling of Spiking Neural Networks. – М.: LAP Lambert Academic Publishing, 2010. – 296 с.
  133. Justice Emuoyibofarhe. Solution of an optimal control problem using neural networks. – М.: LAP Lambert Academic Publishing, 2012. – 208 с.
  134. Uma Maheshwari and Santhosh Rebello. Fundamental Simulation Methodologies Dwelling in Neural Networks. – М.: LAP Lambert Academic Publishing, 2011. – 136 с.
  135. Conrad Tiflin. LSTM Recurrent Neural Networks for Signature Verification. – М.: LAP Lambert Academic Publishing, 2012. – 104 с.
  136. Goh Kwang Leng,Ashutosh Kumar Singh and Lim King Hann. Web Spam Detection Application using Neural Network. – М.: Scholars' Press, 2013. – 60 с.
  137. Tarun Soni. Effectiveness of Neural Networks in Forecasting B.S.E Sensex Index. – М.: LAP Lambert Academic Publishing, 2011. – 60 с.
  138. Meriem Nachidi. Stabilization of T-S fuzzy systems with application on a greenhouse. – М.: LAP Lambert Academic Publishing, 2012. – 160 с.
  139. Bhawna Garg and Deepak Saxena. Application of Neural Networks in Area of Management Decision Making. – М.: LAP Lambert Academic Publishing, 2013. – 64 с.
  140. Meriem Djennas,Mustapha Djennas and Mohamed Benbouziane. A Neural Network-Genetic Algorithm Hybrid Model for Forecasting. – М.: LAP Lambert Academic Publishing, 2012. – 56 с.

Лучшие результаты

Ничего не найдено

Дополнительные результаты

  1. Наука человековедения. интервью с Д. Уолтоном, профессором London Metropolitan University, экспертом CIPD. Chartered Institute of Personnel and Development, автором программы Master of Arts in Human Resource Strategies. И. Смирнова, "Кадровый менеджмент", № 5, июль-август 2007.
  2. Trade-in как способ обмена автомобиля. С.Н. Гордеева, "Торговля: бухгалтерский учет и налогообложение", N 2, февраль 2011 г.
  3. Проблемы применения универсальной юрисдикции in absentia. Г.А. Королев, "Журнал российского права", № 10, октябрь 2009.
  4. Тонкости trade-in. С.А.Королев, "НДС. Проблемы и решения", № 8, август 2009.
  5. Основной арсенал "охотника" - его network: кого он знает на рынке и качество этих отношений. С. Плетнева, "Управление персоналом", № 12, июнь 2009.
  6. In-store banking - новая модель банковского бизнеса. А. Пятков, "Банковское обозрение", № 11, ноябрь 2008.

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Виктория, 04.06
Сегодня защитила Диплом на отлично! Спасибо Вам огромное за все!))))))