Подбор литературы для самостоятельной научной студенческой работы

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.

Benjamin Kedem, Konstantinos Fokianos. Regression Models for Time Series Analysis (Wiley Series in Probability and Statistics). – М.: , 0. – 0 с.

G. Peter Zhang. Neural Networks in Business Forecasting. – М.: , 0. – 0 с.

Daniel Straumann. Estimation in Conditionally Herteroscedastic Time Series Models. – М.: , 2004. – 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.

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.

Peter J. Brockwell, Richard A. Davis. Introduction to Time Series and Forecasting. – М.: , 2010. – 456 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.

Artificial Neural Networks: Methods and Applications (Methods in Molecular Biology). – М.: , 2008. – 254 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.

M. B. Priestley. Spectral Analysis and Time Series, Two-Volume Set,1-2. – М.: , 2010. – 890 с.

E. Michael Azoff. Neural Network Time Series. – М.: , 1994. – 212 с.

Timothy Masters. Neural, Novel & Hybrid Algorithms for Time Series Prediction. – М.: , 1995. – 544 с.

James D. Hamilton. Time Series Analysis. – М.: , 1994. – 816 с.

Zhazar Toktabolat. Using Artificial Neural Networks in Reservoir Characterization. – М.: Scholars Press, 2013. – 144 с.

Yunong Zhang. Recurrent Neural Networks. – М.: LAP Lambert Academic Publishing, 2010. – 200 с.

Philip Adewuyi. Demand-Side Management Analysis Using Artificial Neural Network. – М.: LAP Lambert Academic Publishing, 2013. – 72 с.

Sagar Dhoble. System Identification Of Nonlinear Chaotic Signals. – М.: LAP Lambert Academic Publishing, 2013. – 172 с.

Vinita Dutt Sunderiyal and Ajit Kumar Singh Yadav. Handwritten Character Recognition Using Artificial Neural Network. – М.: LAP Lambert Academic Publishing, 2013. – 140 с.

Sourav Banerjee and Aritra Ghosh. Neural Networks for Variational Problems in Engineering. – М.: LAP Lambert Academic Publishing, 2012. – 228 с.

Shailendra Kumar Dewangan. Devnagari Handwritten Signature Recognition Using Neural Network. – М.: LAP Lambert Academic Publishing, 2012. – 124 с.

Gaurang Panchal and Amit Ganatra. Optimization of Neural Network Parameter using Genetic Algorithm. – М.: LAP Lambert Academic Publishing, 2012. – 92 с.

Suhaas Bhargava Ayyagari. Artificial Neural Network Based Fault Location For Transmission Lines. – М.: LAP Lambert Academic Publishing, 2012. – 124 с.

Natalia Gotman,Galina Shumilova and Tatiana Starceva. Electric load forecasting using an artificial neural networks. – М.: LAP Lambert Academic Publishing, 2014. – 100 с.

Mahmoud Al Ashi. Robotic Manipulator Control Using Neural Networks. – М.: LAP Lambert Academic Publishing, 2014. – 100 с.

Sushama Shelke and Shaila Apte. Handwritten Marathi Character Recognition using Neural Networks. – М.: LAP Lambert Academic Publishing, 2012. – 188 с.

Rohit Deshpande. Chaotic Time series prediction: A Neural Network Approach. – М.: LAP Lambert Academic Publishing, 2012. – 56 с.

Nida Aziz. Control of a Virtual Hand Using a Brain-Computer Interface System. – М.: LAP Lambert Academic Publishing, 2011. – 104 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.

Simon Mitton and Michael Dowd. Damage Detection of Bridge Decks Using Artificial Neural Networks. – М.: LAP Lambert Academic Publishing, 2011. – 64 с.

Joel-Ahmed Mondol. Neural Networks Approach to Biocomposites Analysis. – М.: LAP Lambert Academic Publishing, 2011. – 144 с.

Zohra Saidane. Image and video text recognition using convolutional neural networks. – М.: LAP Lambert Academic Publishing, 2011. – 156 с.

Seyed Ahmad Noorani. Simulation Of Blasting Induced Ground Vibration Using Neural Network. – М.: LAP Lambert Academic Publishing, 2012. – 124 с.

Alina Barbulescu,Carmen Maftei and Elena Bautu. Modeling the hydro-meteorological time series. – М.: LAP Lambert Academic Publishing, 2011. – 136 с.

Jagadeesh Anmala. Rainfall-Runoff Modeling Using Artificial Neural Networks. – М.: LAP Lambert Academic Publishing, 2010. – 200 с.

Parameshwar Shirgure and G. S. Rajput. Evaporation modeling using Artificial neural networks. – М.: LAP Lambert Academic Publishing, 2012. – 328 с.

Shivmurti Srivastav and Baburao K. Kumbhar. Superheated Steam Drying of Paneer Using Artificial Neural Network. – М.: LAP Lambert Academic Publishing, 2012. – 156 с.

Abdelaziz Hamad Elawad,Bahrom Sanugi and Shahariddin Salleh. Neural network and scheduling. – М.: LAP Lambert Academic Publishing, 2011. – 160 с.

Satya Prakash Dubey. Neural Networks in Active Power Filtering. – М.: Scholars' Press, 2014. – 188 с.

Mohammad Ebrahim Banihabib,Azar Arabi,Ali A. Salha and Ali Rahimikhoob. Artificial Neural Network Model of Maximum Temperature Using NOAA data. – М.: LAP Lambert Academic Publishing, 2014. – 92 с.

Olanrewaju Shittu. Analysis of Time Series Data in the Presence of Outliers. – М.: LAP Lambert Academic Publishing, 2011. – 132 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.

Abel Nyamapfene. Unsupervised Multimodal Neural Networks. – М.: LAP Lambert Academic Publishing, 2010. – 176 с.

Tarik Rashid. Recurrent Neural Network Model. – М.: LAP Lambert Academic Publishing, 2013. – 172 с.

Jesse Mwangi. Non-Linear Time Series Models. – М.: LAP Lambert Academic Publishing, 2012. – 120 с.

VENKATESAN .D and . ARUMUGAM.P. A BAYESIAN ANALYSIS OF CHANGING TIME SERIES MODELS. – М.: LAP Lambert Academic Publishing, 2011. – 136 с.

Tigist Mideksa Damesa. A Multivariate Time Series Analysis of Agrometeorological Data. – М.: LAP Lambert Academic Publishing, 2011. – 64 с.

C. Kiruthika. Artificial Neural Network Approach To Certain Classification Problems. – М.: LAP Lambert Academic Publishing, 2014. – 104 с.

Gerard Keogh. Univariate Time Series Modelling and Forecasting using TSMARS. – М.: LAP Lambert Academic Publishing, 2010. – 248 с.

Ravi Ramakrishnan. Robust multivariate and nonlinear time series models. – М.: LAP Lambert Academic Publishing, 2010. – 156 с.

Mengistu Kefale. Time Series Analysis on Price and rainfall pattern of Bahir Dar, Ethiopia. – М.: LAP Lambert Academic Publishing, 2010. – 64 с.

Isabel Silva. Analysis of discrete-valued time series. – М.: LAP Lambert Academic Publishing, 2012. – 288 с.

Olaoluwa S. Yaya and Olanrewaju I. Shittu. Basic Questions And Answers In Introductory Time Series Analysis. – М.: LAP Lambert Academic Publishing, 2013. – 112 с.

Juli Majumder and Rumana Rois. An Application of Artificial Neural Network Model in GDP Forecasting. – М.: LAP Lambert Academic Publishing, 2013. – 100 с.

Yared Assefa. Time Series and Spatial Analysis of Crop Yield. – М.: LAP Lambert Academic Publishing, 2013. – 84 с.

Seyed Vahid Razavi Tosee,Mohd Zamin Jumaat and Ahmed EI-Shafie. Using Generalized Regression Neural Network in Structural Engineering. – М.: Scholars' Press, 2014. – 116 с.

Fuhad Ahmed and Ahmed Kabir Chowdhury. Time Series Model Building On Climate Data In Sylhet. – М.: LAP Lambert Academic Publishing, 2014. – 216 с.

Yassen Adel and Luma Naji. Design feed forward neural networks for solving ordinary intial value. – М.: LAP Lambert Academic Publishing, 2013. – 132 с.

Anuj Kumar. Introduction & Review Collection for Analysis of Financial Time Series. – М.: LAP Lambert Academic Publishing, 2012. – 72 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.

Boran Sekeroglu and Gulsum Y?ld?z As?ksoy. Diagnosis Of Epilepsy Disorders Using Artificial Neural Networks. – М.: LAP Lambert Academic Publishing, 2013. – 96 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.

Yussif Dokurugu. Epidemiology & Time Series Analysis of Ghana Health Insurance Scheme. – М.: Scholars' Press, 2014. – 164 с.

Koushal Kumar. Rules Extraction From Trained Neural Networks Using Decision Trees. – М.: LAP Lambert Academic Publishing, 2012. – 64 с.

Jitendra Sinha,Avinash Agarwal and R. K. Sahu. River Flow Modelling Using Artificial Neural Network. – М.: LAP Lambert Academic Publishing, 2013. – 168 с.

Ginni Arora. Skin Cancer Segmentation using Neural Network. – М.: LAP Lambert Academic Publishing, 2012. – 72 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.

Surendra Rahamatkar. A Light Weight Time Synchronization Approach in Sensor Network. – М.: LAP Lambert Academic Publishing, 2012. – 180 с.

Nermine Hendy. Speech Emotion Recognition Using Neural Network. – М.: LAP Lambert Academic Publishing, 2014. – 148 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.

Francisco Martinez Alvarez. Advanced Time Series Forecasting Using Data Mining Techniques. – М.: LAP Lambert Academic Publishing, 2010. – 164 с.

Nuttapod Nuntalid. Evolving Probabilistic Spiking Neural Networks. – М.: LAP Lambert Academic Publishing, 2013. – 256 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.

Ali Lemus. Characteristics of Neural Networks based on Energy Functions. – М.: LAP Lambert Academic Publishing, 2013. – 88 с.

Kussay Nugamesh Mutter. Fingerprint Identification using Neural Network and Genetic Algorithm. – М.: LAP Lambert Academic Publishing, 2013. – 120 с.

Adebola Musa. PREDICTING AYO GAME STRATEGY USING NEURAL NETWORK-BASED REFINEMENT. – М.: LAP Lambert Academic Publishing, 2010. – 76 с.

Mais Mohammed Hobi and Sarab Majeed Hameed. Biometrics for User Authentication Using Artificial Neural Networks. – М.: LAP Lambert Academic Publishing, 2013. – 108 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.

Apoorva Kumar Singhal. Neural Network Analysis. – М.: LAP Lambert Academic Publishing, 2012. – 60 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.

Harya Widiputra. Multiple Time-Series Analysis and Modelling. – М.: LAP Lambert Academic Publishing, 2012. – 312 с.

Iveta Mrazova. Knowledge Extraction with Neural Networks. – М.: LAP Lambert Academic Publishing, 2011. – 176 с.

Hassan Abdelbary. Forecast Stock Index using Neural Networks and Evolutionary Computing. – М.: LAP Lambert Academic Publishing, 2013. – 72 с.

Justice Emuoyibofarhe. Solution of an optimal control problem using neural networks. – М.: LAP Lambert Academic Publishing, 2012. – 208 с.

Ismael Marin Carrion. High Performance Computing Applied to Nonlinear Time Series Analysis. – М.: LAP Lambert Academic Publishing, 2010. – 184 с.

Conrad Tiflin. LSTM Recurrent Neural Networks for Signature Verification. – М.: LAP Lambert Academic Publishing, 2012. – 104 с.

Ahmmed Saadi Ibrahem. TECHNIQUES TYPES OF NEURAL NETWORK BY USING NEUROSOLUTIONS SOFTWARE. – М.: LAP Lambert Academic Publishing, 2011. – 108 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.

Jesper Boer. Modeling Volatility in Financial Time Series. – М.: LAP Lambert Academic Publishing, 2010. – 88 с.

Khalid Zaman and Mehboob Ahmad. Time Series Econometrics: A Practical Approach to EViews Screen-Shots. – М.: LAP Lambert Academic Publishing, 2010. – 160 с.

IOANNIS NEOKOSMIDIS. VOLATILITY MODELLING AND TIME SERIES ANALYSIS. – М.: LAP Lambert Academic Publishing, 2010. – 88 с.

Zelalem Abahana,Matthew Diersen and Jing Li. Statistical Time Series Analysis on Basis and Volume Contracted. – М.: LAP Lambert Academic Publishing, 2012. – 84 с.

Mehmet Guray Unsal and Resat Kasap. Residual Types In Time Series Analysis. – М.: LAP Lambert Academic Publishing, 2013. – 64 с.

Asima Qayyum,Nawaz Ahmed and Hafeez ur Rehman. A Framework For Export Pattern Analysis Using Comparative Advantages. – М.: LAP Lambert Academic Publishing, 2014. – 88 с.

Dominique Habimana. Time Series Econometrics Analysis. – М.: LAP Lambert Academic Publishing, 2010. – 60 с.

Olushina Olawale Awe. Econometric Time Series Analysis. – М.: LAP Lambert Academic Publishing, 2012. – 72 с.

Robert Biscontri. An Exploration of Approaches to Forecasting Company Earnings using the Neural Network Paradigm. – М.: LAP Lambert Academic Publishing, 2010. – 232 с.

Amudapuram Mohan Rao and B.K. Durai. Travel Mode Choice Modeling Using Artificial Neural Networks (ANN). – М.: LAP Lambert Academic Publishing, 2012. – 84 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.

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