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Результаты поиска Лучшие результаты Philip Hans Franses, Dick Van Dijk. Non-Linear Time Series Models in Empirical Finance. – М.: Cambridge University Press, 2000. – 296 с. Christian L. Dunis. Forecasting Financial Markets : Exchange Rates, Interest Rates and Asset Management (Financial Economics and Quantitative Analysis Series). – М.: , 0. – 0 с. Advances in Multivariate Data Analysis. – М.: , 2004. – 0 с. Ruey S. Tsay. Analysis of Financial Time Series (Wiley Series in Probability and Statistics). – М.: , 2005. – 0 с. Simon DABLEMONT. Forecasting of High Frequency Financial Time Series: Concepts, Methods, Algorithms. – М.: , 2010. – 384 с. E. Michael Azoff. Neural Network Time Series. – М.: , 1994. – 212 с. Sagar Dhoble. System Identification Of Nonlinear Chaotic Signals. – М.: LAP Lambert Academic Publishing, 2013. – 172 с. Rohit Deshpande. Chaotic Time series prediction: A Neural Network Approach. – М.: LAP Lambert Academic Publishing, 2012. – 56 с. Robert Andrawis. Advanced Forecasting Techniques with Application to NN5 Time Series. – М.: LAP Lambert Academic Publishing, 2012. – 132 с. Shashank Singh and Rangavajhala Subbaiah. Stochastic Disaggregation Modelling of Rainfall series. – М.: LAP Lambert Academic Publishing, 2013. – 140 с. Juli Majumder and Rumana Rois. An Application of Artificial Neural Network Model in GDP Forecasting. – М.: LAP Lambert Academic Publishing, 2013. – 100 с. Reza Habibi. Applications of Statistical Engineering Tools in Financial Time Series. – М.: LAP Lambert Academic Publishing, 2013. – 52 с. Antonio Sawaya. Financial Time Series Analysis. – М.: LAP Lambert Academic Publishing, 2012. – 76 с. Hassan Khazem. Forecasting Crude Oil Prices. – М.: LAP Lambert Academic Publishing, 2011. – 104 с. Sanjeev Karmakar,Manoj Kumar Kowar and Pulak Guhathakurta. Applications of Neural Network in Long Range Weather Forecasting. – М.: LAP Lambert Academic Publishing, 2012. – 244 с. Ritu Vijay. Time Series Analysis using Neural Networks. – М.: LAP Lambert Academic Publishing, 2012. – 60 с. Alexander Zamyatin. Advanced Processing of Remote Sensing Data for Land Use and Land Cover. – М.: LAP Lambert Academic Publishing, 2010. – 232 с. Peter Smolar,Peter Sincak and Maria Vircikova. Intelligent Image Categorization. – М.: LAP Lambert Academic Publishing, 2012. – 188 с. Pankaj Bhambri and Shaminder Singh. Temporal Weather Prediction using Genetic Algorithm. – М.: LAP Lambert Academic Publishing, 2013. – 64 с. Ratnadip Adhikari and R. K. Agrawal. An Introductory Study on Time Series Modeling and Forecasting. – М.: LAP Lambert Academic Publishing, 2013. – 76 с. Barack Wanjawa. A Neural Network Model for Predicting Stock Market Prices. – М.: LAP Lambert Academic Publishing, 2014. – 200 с. Conrad Tiflin. LSTM Recurrent Neural Networks for Signature Verification. – М.: LAP Lambert Academic Publishing, 2012. – 104 с. JORDI PETCHAME SALA. Liquidity Risk Modeling using Artificial Neural Networks. – М.: LAP Lambert Academic Publishing, 2011. – 116 с. Simon DABLEMONT. Forecasting of High Frequency Financial Time Series. – М.: LAP Lambert Academic Publishing, 2010. – 384 с. Shishir Saha,Sumonkanti Das and Md. Ahmed Kabir Chowdhury. Comparative Study of ARIMA & ANN Models. – М.: LAP Lambert Academic Publishing, 2011. – 112 с. Robert Verner. Stock Markets Prediction. – М.: LAP Lambert Academic Publishing, 2012. – 164 с. Дополнительные результаты Ngai Hang Chan. Time Series : Applications to Finance (Wiley Series in Probability and Statistics). – М.: , 0. – 0 с. Philip Hans Franses, Dick Van Dijk. Non-Linear Time Series Models in Empirical Finance. – М.: Cambridge University Press, 2000. – 296 с. A.C. Harvey. The Econometric Analysis of Time Series - 2nd Edition (London School of Economics Handbooks in Economics). – М.: , 0. – 0 с. Peter M. Robinson. Time Series With Long Memory (Advanced Texts in Econometrics). – М.: , 0. – 0 с. Philip Rothman. Nonlinear Time Series Analysis of Economic and Financial Data (Dynamic Modeling and Econometrics in Economics and Finance, V. 1). – М.: , 0. – 0 с. Douglas M. Patterson, Richard A. Ashley. A Nonlinear Time Series Workshop - A Toolkit for Detecting and Identifying Nonlinear Serial (DYNAMIC MODELING AND ECONOMETRICS IN ECONOMICS AND). – М.: , 0. – 0 с. Philip Hans Franses, Richard Paap. Periodic Time Series Models (Advanced Texts in Econometrics). – М.: , 0. – 0 с. G. Peter Zhang. Neural Networks in Business Forecasting. – М.: , 0. – 0 с. Terence C. Mills. The Econometric Modelling of Financial Time Series. – М.: , 0. – 0 с. K. D. Patterson. An Introduction to Applied Econometrics: A Time Series Approach. – М.: , 0. – 0 с. Andrew C. Harvey. Forecasting, Structural Time Series Models and the Kalman Filter. – М.: Cambridge University Press, 1991. – 572 с. Terence C. Mills. Modelling Trends and Cycles in Economic Time Series. – М.: Palgrave Macmillan, 2003. – 180 с. Christian L. Dunis, Bin Zhou. Nonlinear Modelling of High Frequency Financial Time Series (Financial Economics and Quantitative Analysis Series). – М.: , 0. – 0 с. Regina Kaiser, Agustin Maravall. Measuring Business Cycles in Economic Time Series (Lecture Notes in Statistics (Springer-Verlag), 154). – М.: , 0. – 0 с. Benjamin Kedem, Konstantinos Fokianos. Regression Models for Time Series Analysis (Wiley Series in Probability and Statistics). – М.: , 0. – 0 с. Christian Gourieroux, Alain Monfort, Giampiero M. Gallo. Time Series and Dynamic Models (Themes in Modern Econometrics). – М.: , 0. – 0 с. G. Peter Zhang. Neural Networks in Business Forecasting. – М.: , 0. – 0 с. Alfred Greiner. The Forces of Economic Growth : A Time Series Perspective. – М.: , 2004. – 0 с. Daniel Straumann. Estimation in Conditionally Herteroscedastic Time Series Models. – М.: , 2004. – 0 с. Ruey S. Tsay. Analysis of Financial Time Series (Wiley Series in Probability and Statistics). – М.: , 2005. – 0 с. Bruce L. Bowerman, Richard O'Connell, Anne Koehler. Forecasting, Time Series, and Regression (with CD-ROM) (Forecasting, Time Series, & Regression). – М.: , 2004. – 696 с. Paul D. McNelis. Neural Networks in Finance: Gaining Predictive Edge in the Market (Academic Press Advanced Finance Series). – М.: , 2004. – 256 с. Nonlinear Time Series Analysis of Business Cycles, Volume 276 (Contributions to Economic Analysis). – М.: , 2006. – 460 с. Jianqing Fan, Qiwei Yao. Nonlinear Time Series: Nonparametric and Parametric Methods (Springer Series in Statistics). – М.: , 2005. – 552 с. Eric Zivot, Jiahui Wang. Modeling Financial Time Series with S-PLUSA®. – М.: , 2006. – 1002 с. Helmut LA?tkepohl. New Introduction to Multiple Time Series Analysis. – М.: , 2006. – 764 с. Nonlinear Econometric Modeling in Time Series: Proceedings of the Eleventh International Symposium in Economic Theory (International Symposia in Economic Theory and Econometrics). – М.: , 2006. – 239 с. Estela Bee Dagum, Pierre A. Cholette. Benchmarking, Temporal Distribution, and Reconciliation Methods for Time Series (Lecture Notes in Statistics). – М.: , 2006. – 410 с. Bernhard Pfaff. Analysis of Integrated and Cointegrated Time Series with R (Use R). – М.: , 2008. – 188 с. Andre Lucas, Philip Hans Franses, Dick Van Dijk. Outlier Robust Analysis of Economic Time Series (Advanced Texts in Econometrics). – М.: , 2008. – 270 с. George E. P. Box, Gwilym M. Jenkins, Gregory C. Reinsel. Time Series Analysis: Forecasting and Control (Wiley Series in Probability and Statistics). – М.: , 2008. – 746 с. Glass V Glass, Victor L Willson, John M Gottman. Design and Analysis of Time-Series Experiments (PB). – М.: , 2008. – 264 с. Artificial Higher Order Neural Networks for Economics and Business (Premier Reference Source). – М.: , 2008. – 542 с. Peter J. Brockwell, Richard A. Davis. Introduction to Time Series and Forecasting. – М.: , 2010. – 456 с. Volatility and Time Series Econometrics: Essays in Honor of Robert Engle (Advanced Texts in Econometrics). – М.: , 2010. – 384 с. Simon DABLEMONT. Forecasting of High Frequency Financial Time Series: Concepts, Methods, Algorithms. – М.: , 2010. – 384 с. Esther A. Williams, John Mordechai Gottman. A User's Guide to the Gottman-Williams Time-Series Analysis Computer Programs for Social Scientists. – М.: , 0. – 0 с. Applied Time Series Econometrics (Themes in Modern Econometrics). – М.: , 2004. – 350 с. Artificial Neural Networks: Methods and Applications (Methods in Molecular Biology). – М.: , 2008. – 254 с. Applications of Neural Networks in High Assurance Systems (Studies in Computational Intelligence). – М.: , 2010. – 280 с. Walter Enders. Applied Econometric Times Series. – М.: Wiley, 2010. – 544 с. Ruey S. Tsay. Analysis of Financial Time Series. – М.: John Wiley and Sons, Ltd, 2010. – 712 с. Stamatios V. Kartalopoulos. Understanding Neural Networks and Fuzzy Logic. – М.: , 1995. – 232 с. Robert A. Yaffee. An Introduction to Time Series Analysis and Forecasting. – М.: , 2010. – 528 с. J.W. Donahoe. Neural Network Models of Cognition,121. – М.: , 2010. – 0 с. Cornelius T. Leondes. Neural Network Systems Techniques and Applications,7. – М.: , 2010. – 438 с. Omid Omidvar. Neural Networks and Pattern Recognition. – М.: , 2010. – 351 с. D.C. Wunsch II. Advances in Neural Network Research: IJCNN 2003. – М.: , 2010. – 434 с. Ronald J. MacGregor. Theoretical Mechanics of Biological Neural Networks. – М.: , 2010. – 377 с. Masters. Practical Neural Network Recipies in C++. – М.: , 2010. – 493 с. Riccardo Leardi. Nature-inspired methods in chemometrics: genetic algorithms and artificial neural networks,23. – М.: , 2010. – 402 с. Renata Dmowska. Long-Range Persistence in Geophysical Time Series,40. – М.: , 2010. – 175 с. KRISHNAIAH. HANDBOOK OF STATISTICS VOL.3 HS 3 TIME SERIES IN THE FREQUENCY DOMAIN. – М.: , 2010. – 0 с. M. B. Priestley. Spectral Analysis and Time Series, Two-Volume Set,1-2. – М.: , 2010. – 890 с. M.T. Silvia. Deconvolution of Geophysical Time Series in the Exploration for Oil and Natural Gas. – М.: , 2010. – 0 с. KRISHNAIAH. HANDBOOK OF STATISTICS VOL.5 TIME SERIES IN THE TIME DOMAIN HS5. – М.: , 2010. – 0 с. James A Anderson. Talking Nets – An Oral History of Neural Networks. – М.: , 2000. – 448 с. Walter Enders. Applied Econometric Times Series. – М.: , 1995. – 448 с. James Anderson. Talking Nets – An Oral History of Neural Networks. – М.: , 1998. – 448 с. Joaquin M Fuster. Memory in the Cerebral Cortex – An Empirical Approach to Neural Networks in the Human & Nonhuman Primate (Paper). – М.: , 1999. – 372 с. M H Hassoun. Fundamentals of Artificial Neural Networks. – М.: , 2010. – 544 с. Michael Arbib. The Handbook of Brain Theory & Neural Networks (Paper). – М.: , 1998. – 1134 с. Michael A Arbib. The Handbook of Brain Theory & Neural Networks 2e. – М.: , 2003. – 1344 с. Michael A. Arbib. The Handbook of Brain Theory & Neural Networks. – М.: , 1995. – 1134 с. James A. Anderson. An Introduction to Neural Networks. – М.: , 1995. – 666 с. Wt Miller. Neural Networks for Control. – М.: , 1991. – 542 с. Mark A Gluck. Gateway to Memory – An Introduction to Neural Network Modeling of the Hippocampus & Learning. – М.: , 2001. – 464 с. Magnus Enquist. Neural Networks and Animal Behavior. – М.: , 2005. – 256 с. John C. Brocklebank. SAS® for Forecasting Time Series. – М.: , 2006. – 424 с. Stephen Grossberg. Neural Networks & Natural Intelligence. – М.: , 1992. – 652 с. Kishan Mehrotra. Elements of Artificial Neural Networks. – М.: , 1996. – 400 с. Wolfgang Maas. Pulsed Neural Networks. – М.: , 1999. – 404 с. Daniel Gardner. The Neurobiology of Neural Networks. – М.: , 1993. – 242 с. Stephen I Gallant. Neural Network Learning & Expert Systems. – М.: , 1993. – 382 с. S Grossberg. Grossberg: Neural Networks & Natural Intelligence (cloth). – М.: , 1988. – 0 с. Alfred Greiner. The Forces of Economic Growth – A Time Series Perspective. – М.: , 2005. – 208 с. Mark A Gluck. Gateway to Memory – An Introduction to Neural Network Modeling of the Hippocampus & Learning. – М.: , 2001. – 464 с. Joaquin M. Fuster. Memory in the Cerebral Cortex – An Empirical Approach to the Neural Networks in the Human & Nonhuman Primate. – М.: , 1994. – 372 с. Stephen T. Welstead. Neural Network and Fuzzy Logic Applications in C/C++. – М.: , 1994. – 0 с. Stephen T. Welstead. Neural Network and Fuzzy Logic Applications in C/C++. – М.: , 1994. – 494 с. Stephen T. Welstead. Neural Network and Fuzzy Logic Applications in C/C++. – М.: , 1994. – 494 с. Stephen J. Taylor. Modelling Financial Time Series. – М.: , 1995. – 320 с. Granino A. Korn. Neural Networks & Fuzzy–Logic Control on Personal Computers & Workstations + D3. – М.: , 1995. – 304 с. Stephen J. Taylor. Modelling Financial Time Series. – М.: , 1995. – 320 с. Nikola Kasabov. Foundations of Neural Networks, Fuzzy Systems & Knowledge Engineering. – М.: , 1996. – 568 с. Vojislav Kecman. Learning & Soft Managing – Support Vector Machines, Neural Networks & Fuzzy Logic Models. – М.: , 2001. – 576 с. Arthur S Banks. Cross–Polity Time–Series Data. – М.: , 2003. – 324 с. Steven Taylor. Modelling Financial Time Series. – М.: , 1986. – 284 с. E. Michael Azoff. Neural Network Time Series. – М.: , 1994. – 212 с. Neural Networks in the Capital Markets. – М.: , 1994. – 392 с. Mohamad Hassoun. Fundamentals of Artificial Neural Networks. – М.: , 1995. – 538 с. Albert Nigrin. Neural Networks for Pattern Recognition. – М.: , 1993. – 436 с. Apostolos–Paul Refenes. Neural Networks in the Capital Market. – М.: , 2005. – 250 с. Ian Parberry. Circuit Complexity & Neural Networks. – М.: , 1994. – 306 с. Randolph Parks. Fundamentals of Neural Network Modeling Neuropsychology and Cognitive Neuroscience. – М.: , 1999. – 444 с. Timothy Masters. Neural, Novel & Hybrid Algorithms for Time Series Prediction. – М.: , 1995. – 544 с. James A. Anderson. An Introduction to Neural Networks. – М.: , 1995. – 666 с. Yunong Zhang. Recurrent Neural Networks. – М.: LAP Lambert Academic Publishing, 2010. – 200 с. Selcuk Caylar. A Novel Neural Network Based Direction Of Arrival Estimation Algorithm. – М.: LAP Lambert Academic Publishing, 2010. – 124 с. Muna Ali and Luma Tawfiq. Fast Feed Forward Neural Networks to Solve Boundary Value Problems. – М.: LAP Lambert Academic Publishing, 2012. – 120 с. Natalia Gotman,Galina Shumilova and Tatiana Starceva. Electric load forecasting using an artificial neural networks. – М.: LAP Lambert Academic Publishing, 2014. – 100 с. Mohammed Waseem. Design & Implementation of Feed Forward Neural Network for FIR Filter. – М.: LAP Lambert Academic Publishing, 2013. – 72 с. Rohit Deshpande. Chaotic Time series prediction: A Neural Network Approach. – М.: LAP Lambert Academic Publishing, 2012. – 56 с. 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. Jagadeesh Anmala. Rainfall-Runoff Modeling Using Artificial Neural Networks. – М.: LAP Lambert Academic Publishing, 2010. – 200 с. Satya Prakash Dubey. Neural Networks in Active Power Filtering. – М.: Scholars' Press, 2014. – 188 с. Jerzy Szczepanik. NEURAL NETWORK MODEL OF ELECTRICAL DRIVE. – М.: LAP Lambert Academic Publishing, 2010. – 144 с. Paresh Chandra Deka and Twolde Mirhanu. Fuzzy Neural Network hybrid modelling for runoff estimation. – М.: LAP Lambert Academic Publishing, 2011. – 68 с. Paresh Chandra Deka and V Chandramoulli. Fuzzy logic and artificial neural network for hydrological modeling. – М.: LAP Lambert Academic Publishing, 2011. – 184 с. Mustafa Mohammed Abed. Dynamic Neural Network for Predicting Creep of Structural Masonry. – М.: LAP Lambert Academic Publishing, 2012. – 96 с. Sunday Igbinosa. Fair Valuation of Real Estate: A Neural Network Approach. – М.: LAP Lambert Academic Publishing, 2012. – 132 с. C. Kiruthika. Artificial Neural Network Approach To Certain Classification Problems. – М.: LAP Lambert Academic Publishing, 2014. – 104 с. Juli Majumder and Rumana Rois. An Application of Artificial Neural Network Model in GDP Forecasting. – М.: LAP Lambert Academic Publishing, 2013. – 100 с. Yassen Adel and Luma Naji. Design feed forward neural networks for solving ordinary intial value. – М.: LAP Lambert Academic Publishing, 2013. – 132 с. Reza Habibi. Applications of Statistical Engineering Tools in Financial Time Series. – М.: LAP Lambert Academic Publishing, 2013. – 52 с. Antonio Sawaya. Financial Time Series Analysis. – М.: LAP Lambert Academic Publishing, 2012. – 76 с. Mustapha Muhammad. Artificial Neural Network Control of a Magnetic Levitation System. – М.: LAP Lambert Academic Publishing, 2012. – 112 с. Ali Isin and Dogan Ibrahim. Using Neural Networks for the Recognition of Cardiac ECG Signals. – М.: LAP Lambert Academic Publishing, 2013. – 100 с. Jitendra Sinha,Avinash Agarwal and R. K. Sahu. River Flow Modelling Using Artificial Neural Network. – М.: LAP Lambert Academic Publishing, 2013. – 168 с. Ritu Vijay. Time Series Analysis using Neural Networks. – М.: LAP Lambert Academic Publishing, 2012. – 60 с. Lih Chieh Png. Morphological Shared-Weight Neural Network for Face Recognition. – М.: LAP Lambert Academic Publishing, 2013. – 176 с. Hassan Farsi and Pouriya Etezadifar. Time Variable PDF Presented by Neural Network for data Compression. – М.: LAP Lambert Academic Publishing, 2013. – 92 с. Lekan Amusan. Neural Network-Based Predictive Cost Model for Building Works. – М.: LAP Lambert Academic Publishing, 2012. – 328 с. Paul Santi-Jones. Fractional FPGA Neural Networks. – М.: LAP Lambert Academic Publishing, 2009. – 228 с. Muhammad Atta Othman A. Khfagy. Artificial Neural Networks Applied For Digital Images with Matlab Code. – М.: LAP Lambert Academic Publishing, 2014. – 152 с. Stefano Scanzio. Speeding-up Artificial Neural Networks. – М.: LAP Lambert Academic Publishing, 2012. – 104 с. Kussay Nugamesh Mutter. Fingerprint Identification using Neural Network and Genetic Algorithm. – М.: LAP Lambert Academic Publishing, 2013. – 120 с. Chandan Srivastava. Clustering and Neural Network Approaches for General NN-Simulator. – М.: LAP Lambert Academic Publishing, 2011. – 68 с. S. Akhter Raza and S. M. Aqil Burney. Time Series Analysis of High Speed Wireless Networks. – М.: LAP Lambert Academic Publishing, 2011. – 156 с. Juraj Koscak,Rudolf Jaksa and Peter Sincak. Stochastic Weight Update in Neural Networks. – М.: LAP Lambert Academic Publishing, 2012. – 104 с. Jun Li. Behavior Learning with Constructive Neural Networks in Mobile Robotics. – М.: LAP Lambert Academic Publishing, 2010. – 156 с. Ratnadip Adhikari and R. K. Agrawal. An Introductory Study on Time Series Modeling and Forecasting. – М.: LAP Lambert Academic Publishing, 2013. – 76 с. Barack Wanjawa. A Neural Network Model for Predicting Stock Market Prices. – М.: LAP Lambert Academic Publishing, 2014. – 200 с. Shweta Roy. Neural network based solution for choice of best webservices. – М.: LAP Lambert Academic Publishing, 2012. – 128 с. Hesham H. Amin. Spiking Neural Networks. – М.: LAP Lambert Academic Publishing, 2011. – 132 с. Conrad Tiflin. LSTM Recurrent Neural Networks for Signature Verification. – М.: LAP Lambert Academic Publishing, 2012. – 104 с. Goh Kwang Leng,Ashutosh Kumar Singh and Lim King Hann. Web Spam Detection Application using Neural Network. – М.: Scholars' Press, 2013. – 60 с. JORDI PETCHAME SALA. Liquidity Risk Modeling using Artificial Neural Networks. – М.: LAP Lambert Academic Publishing, 2011. – 116 с. Simon DABLEMONT. Forecasting of High Frequency Financial Time Series. – М.: LAP Lambert Academic Publishing, 2010. – 384 с. 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 Основной арсенал "охотника" - его network: кого он знает на рынке и качество этих отношений. С. Плетнева, "Управление персоналом", № 12, июнь 2009. Образцы работ
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Юлия, 18.03 Спасибо огромное! Прочитала вывод, очень хорошо сформулирован. Надеюсь преподаватель это оценит
