"Time Series Forecasting Using Ridge Polynomial Neural Network with Error Feedback"

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Book	Author(s)	Year	Publisher
Artificial neural networks: forecasting time series /	Vemuri, V. Rao.; Rogers, Robert D.	[1994], ©1994.	IEEE Computer Society Press,
Applied economic forecasting using time series methods	Ghysels, Eric; Marcellino, Massimiliano	2018	Oxford University Press
Forecasting financial markets using Neural Networks	Jason E. Kutsurelis	1998	Naval Postgraduate School;Available from National Technical Information Service
Advanced Time Series Data Analysis: Forecasting Using EViews	I. Gusti Ngurah Agung	2019	Wiley
Advanced time series data analysis: forecasting using EViews	Agung, I Gusti Ngurah	2019	John Wiley & Sons
Neural network analysis using Simulnet	Edward J. Rzempoluck	1998	Springer
Time-Series Forecasting	Chris Chatfield	2000	Routledge
Time-Series Forecasting	Chris Chatfield	2000	Chapman and Hall/CRC
Time-series forecasting /	Chatfield, Christopher.	[2001], ©2001.	Chapman & Hall/CRC,
Hands-On Time Series Analysis With R: Perform Time Series Analysis And Forecasting Using R	Rami Krispin	2019	Packt Publishing
Time series and forecasting with IDA	Harry V. Roberts	1984	Scientific Press;McGraw-Hill;Distributed by McGraw-Hill
Forecasting Economic Time Series	Michael Clements; David Hendry	1998-10	Cambridge University Press
Universal Time-Series Forecasting with Mixture Predictors	Daniil Ryabko	1st ed. 2020	Springer International Publishing
Forecasting Time Series Data with Facebook Prophet	Greg Rafferty	2021	Apress
Strategies for Feedback Linearisation: A Dynamic Neural Network Approach	Freddy Rafael Garces; Victor Manuel Becerra; Chandrasekhar Kambhampati; Kevin Warwick	2003	Springer London
Neural Network Data Analysis Using Simulnet™	Edward J. Rzempoluck	1998	Springer New York
Machine Learning for Time Series Forecasting with Python	Francesca Lazzeri PhD,	2020	John Wiley & Sons
Time Series Forecasting with R A Beginner’s Guide	Dr.Arunachalam Rajagopal	2020
Error-Free Polynomial Matrix Computations	E.V. Krishnamurthy	1985	Springer New York
SAS for Forecasting Time Series	John C. Brocklebank; David A. Dickey; Bong S. Choi	2018	SAS Institute
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Time Series Forecasting Using Ridge Polynomial Neural Network with Error Feedback	Waddah Waheeb; Rozaida Ghazali; Tutut Herawan	Recent Advances on Soft Computing and Data Mining: The Second International Conference on Soft Computing and Data Mining (SCDM-2016), Bandung, Indonesia, August 18-20, 2016 Proceedings	Tutut Herawan; Rozaida Ghazali; Nazri Mohd Nawi; Mustafa Mat Deris	1st ed. 2017	Springer International Publishing
Multi-step Time Series Forecasting Using Ridge Polynomial Neural Network with Error-Output Feedbacks	Waddah Waheeb; Rozaida Ghazali	Soft Computing in Data Science: Second International Conference, SCDS 2016, Kuala Lumpur, Malaysia, September 21-22, 2016, Proceedings	Michael W. Berry; Azlinah Hj. Mohamed; Bee Wah Yap	1st ed. 2016	Springer Nature Singapore
Time Series Forecasting Using Artificial Neural Network		Proceedings of The 25th International Business Information Management Association Conference; Innovation Vision 2020: From Regional Development Sustainability to Global Economic Growth	various authors	2015	International Business Information Management Association (IBIMA)
Forecasting Time Series Data Using Artificial Neural Network	Sarbjit Singh; Kulwinder Singh Parmar; Harpreet Kaur; Jatinder Kaur	Artificial Intelligence, Machine Learning, and Data Science Technologies: Future Impact and Well-Being for Society 5. 0	Neeraj Mohan; Ruchi Singla; Priyanka Kaushal; Seifedine Kadry	2021	Routledge
Dynamic Ridge Polynomial Neural Networks in Exchange Rates Time Series Forecasting	Rozaida Ghazali; Abir Jaafar Hussain; Dhiya Al-Jumeily; Madjid Merabti	Adaptive and Natural Computing Algorithms: 8th International Conference, ICANNGA 2007, Warsaw, Poland, April 11-14, 2007, Proceedings, Part II	Bartlomiej Beliczynski; Andrzej Dzielinski; Marcin Iwanowski; Bernadete Ribeiro	2007	Springer Berlin Heidelberg
Experience with Using a Neural Network for Forecasting Time Series	Pennagaram D. Devika; Luke E. K. Achenie	World Congress On Neural Networks-San Diego: 1994 International Neural Network Society Annual Meeting	Paul Werbos; Harold Szu; Bernard Widrow	1994	Routledge
Time Series Forecasting Using GRU Neural Network with Multi-lag After Decomposition	Xu Zhang; Furao Shen; Jinxi Zhao; GuoHai Yang	Neural Information Processing: 24th International Conference, ICONIP 2017, Guangzhou, China, November 14–18, 2017, Proceedings, Part V	Derong Liu; Shengli Xie; Yuanqing Li; Dongbin Zhao; El-Sayed M. El-Alfy	1st ed. 2017	Springer International Publishing
Self-Organizing Polynomial Neural Network for Forecasting Chaotic Time Series: Comparison Results	Jui-Yu Wu	Advances in Information Technology and Education: International Conference, CSE 2011, Qingdao, China, July 9-10, 2011, Proceedings, Part I	Honghua Tan; Mark Zhou	2011	Springer Berlin Heidelberg
Deep Neural Network for Multivariate Time-Series Forecasting	Samit Bhanja; Abhishek Das	Proceedings of International Conference on Frontiers in Computing and Systems: COMSYS 2020	Debotosh Bhattacharjee; Dipak Kumar Kole; Nilanjan Dey; Subhadip Basu; Dariusz Plewczynski	1st ed. 2021	Springer Nature Singapore
Forecasting Using Time Series		Project Management	Pradeep Pai	2019	Pearson India
A New Fuzzy Time Series Forecasting Model with Neural Network Structure		Advances in Time Series Forecasting	Cagdas Hakan Aladag	2017	Bentham Science Publishers
Stochastic Recurrent Neural Network for Multistep Time Series Forecasting	Zexuan Yin; Paolo Barucca	Neural Information Processing: 28th International Conference, ICONIP 2021, Sanur, Bali, Indonesia, December 8–12, 2021, Proceedings, Part I	Teddy Mantoro; Minho Lee; Media Anugerah Ayu; Kok Wai Wong; Achmad Nizar Hidayanto	1st ed. 2021	Springer International Publishing
Time Series Forecasting Model Method Based on Neural Network	Peng Hua	2021 International Conference on Applications and Techniques in Cyber Intelligence: Applications and Techniques in Cyber Intelligence (ATCI 2021) Volume 1	Jemal Abawajy; Zheng Xu; Mohammed Atiquzzaman; Xiaolu Zhang	1st ed. 2021	Springer International Publishing
Financial Time Series Forecasting Using Deep Learning Network	Preeti; Ankita Dagar; Rajni Bala; Ram Pal Singh	Applications of Computing and Communication Technologies: First International Conference, ICACCT 2018, Delhi, India, March 9, 2018, Revised Selected Papers	Ganesh Chandra Deka; Omprakash Kaiwartya; Pooja Vashisth; Priyanka Rathee	1st ed. 2018	Springer Nature Singapore
Daily Power Load Forecasting Using the Differential Polynomial Neural Network	Ladislav Zjavka	Hybrid Artificial Intelligence Systems: 9th International Conference, HAIS 2014, Salamanca, Spain, June 11-13, 2014, Proceedings	Marios Polycarpou; André C.P.L.F. de Carvalho; Jeng-Shyang Pan; Michał Woźniak; Héctor Quintián; Emilio Corchado	2014	Springer International Publishing
Neural Networks for Time-Series Forecasting	G. Peter Zhang	Handbook of Natural Computing	Grzegorz Rozenberg; Thomas Bäck; Joost N. Kok	2012	Springer Berlin Heidelberg
Neural Networks for Time-Series Forecasting	William Remus; Marcus O’Connor	Principles of Forecasting: A Handbook for Researchers and Practitioners	J.S. Armstrong	2001	Springer US
Neural Networks for Time-Series Forecasting	Sandhya Samarasinghe	Neural Networks for Applied Sciences and Engineering: From Fundamentals to Complex Pattern Recognition	Sandhya Samarasinghe	2006	Routledge
Neural Approaches for Time Series Forecasting	Matteo Sangiorgio; Fabio Dercole; Giorgio Guariso	Deep Learning in Multi-step Prediction of Chaotic Dynamics: From Deterministic Models to Real-World Systems	Matteo Sangiorgio; Fabio Dercole; Giorgio Guariso	1st ed. 2021	Springer International Publishing
Neural Network Time-Series Utilities		MATLAB Deep Learning Toolbox™ User's Guide	The MathWorks, Inc.	2020	The MathWorks, Inc.
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