"Generalized Regression Neural Network for Forecasting Time Series with Multiple Seasonal Cycles"

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Book	Author(s)	Year	Publisher
Multiple and Generalized Nonparametric Regression	John Fox	May 2000	SAGE Publications, Inc
Multiple and generalized nonparametric regression /	Fox, John,	2000.	Sage Publications,
Artificial neural networks: forecasting time series /	Vemuri, V. Rao.; Rogers, Robert D.	[1994], ©1994.	IEEE Computer Society Press,
Forecasting, time series, and regression: an applied approach /	Bowerman, Bruce L.; O'Connell, Richard T.; Bowerman, Bruce L.	[2005], ©2005.	Thomson Brooks/Cole,
SAS for Forecasting Time Series	John C. Brocklebank; David A. Dickey; Bong S. Choi	2018	SAS Institute
SAS for forecasting time series /	Brocklebank, John Clare.; Dickey, David A.	[2003], ©2003.	J. Wiley,
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,
Machine Learning for Time Series Forecasting with Python	Francesca Lazzeri PhD,	2020	John Wiley & Sons
Time series and forecasting with IDA	Harry V. Roberts	1984	Scientific Press;McGraw-Hill;Distributed by McGraw-Hill
Forecasting with Dynamic Regression Models	Alan Pankratz	1991	John Wiley & Sons
Regression Models for Time Series Analysis	Benjamin Kedem	2002	John Wiley & Sons
Regression models for time series analysis /	Kedem, Benjamin,; Fokianos, Konstantinos.	[2002], ©2002.	John Wiley & Sons, Inc.,
Seasonal cycles	Suzanne Slade	2007	Rosen Pub. Group's PowerKids Press
Multiple Time Series	E. J. Hannan	1990	John Wiley & Sons
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
Applied time series analysis for managerial forecasting	Charles R. Nelson	1973	Holden-Day
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Generalized Regression Neural Network for Forecasting Time Series with Multiple Seasonal Cycles	Grzegorz Dudek	Intelligent Systems' 2014: Proceedings of the 7th IEEE International Conference Intelligent Systems IS’2014, September 24‐26, 2014, Warsaw, Poland, Volume 2: Tools, Architectures, Systems, Applications	D. Filev; J. Jabłkowski; J. Kacprzyk; M. Krawczak; I. Popchev; L. Rutkowski; V. Sgurev; E. Sotirova; P. Szynkarczyk; S. Zadrozny	2015	Springer International Publishing
Multivariate Regression Tree for Pattern-Based Forecasting Time Series with Multiple Seasonal Cycles	Grzegorz Dudek	Information Systems Architecture and Technology: Proceedings of 38th International Conference on Information Systems Architecture and Technology – ISAT 2017: Part I	Leszek Borzemski; Jerzy Świątek; Zofia Wilimowska	1st ed. 2018	Springer International Publishing
Forecasting Time Series with Multiple Seasonal Cycles Using Neural Networks with Local Learning	Grzegorz Dudek	Artificial Intelligence and Soft Computing: 12th International Conference, ICAISC 2013, Zakopane, Poland, June 9-13, 2013, Proceedings, Part I	Leszek Rutkowski; Marcin Korytkowski; Rafal Scherer; Ryszard Tadeusiewicz; Lotfi A. Zadeh; Jacek M. Zurada	2013	Springer Berlin Heidelberg
Artificial Immune System for Forecasting Time Series with Multiple Seasonal Cycles	Grzegorz Dudek	Transactions on Computational Collective Intelligence XI	Ngoc Thanh Nguyen	2013	Springer Berlin Heidelberg
Forecasting Seasonal Time Series		Statistics for Business and Economics, Ebook, Global Edition	Paul Newbold; William Carlson; Betty Thorne	2019	Pearson UK
Forecasting Seasonal Time Series		Business forecasting: with ForecastX TM	J Holton Wilson; Barry Keating	2009	McGraw-Hill/Irwin
Forecasting with time series regression		Statistics for Big Data for Dummies	Anderson, Alan	2015	For Dummies
Forecasting time series with multiple seasonal patterns using Prophet		Time Series Analysis with Python Cookbook: Practical recipes for exploratory data analysis, data preparation, forecasting, and model evaluation	Tarek A. Atwan	2022	Packt Publishing
Forecasting time series with multiple seasonal patterns using NeuralProphet		Time Series Analysis with Python Cookbook: Practical recipes for exploratory data analysis, data preparation, forecasting, and model evaluation	Tarek A. Atwan	2022	Packt Publishing
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
Randomized Neural Networks for Forecasting Time Series with Multiple Seasonality	Grzegorz Dudek	Advances in Computational Intelligence: 16th International Work-Conference on Artificial Neural Networks, IWANN 2021, Virtual Event, June 16–18, 2021, Proceedings, Part II	Ignacio Rojas; Gonzalo Joya; Andreu Català	1st ed. 2021	Springer International Publishing
Time Series with Multiple Seasonal Patterns	Phillip Gould; Farshid Vahid-Araghi	Forecasting with Exponential Smoothing: The State Space Approach	Rob Hyndman; Anne B. Koehler; J. Keith Ord; Ralph D. Snyder	2008	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
228 Time series forecasting with regression		Statistics for Management and Economics + XLSTAT Bind-in	Gerald Keller	2017	Cengage Learning
178 Time series forecasting with regression		Business Statistics Abridged: Australia and New Zealand	SELVANATHAN, ANTONY & SELVANATHAN, SAROJA & KELLER, GERALD.	2021	CENGAGE LEARNING AUSTRALI
238 Time series forecasting with regression		Business Statistics: Australia / New Zealand	E. Antony Selvanathan, Saroja Selvanathan, Gerald Keller	2014	Cengage Learning Australia
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)
Multiple time series forecasting		Machine Learning with the Elastic Stack: Gain valuable insights from your data with Elastic Stack's machine learning features	Rich Collier; Camilla Montonen; Bahaaldine Azarmi	2021	Packt Publishing
Forecasting with Multiple Regression	A. Reza Hoshmand	Business Forecasting: A Practical Approach	A. Reza Hoshmand	2009	Routledge
Time Series Forecasting Based on Hybrid Neural Networks and Multiple Regression	Alexey Averkin; Sergey Yarushev; Igor Dolgy; Andrey Sukhanov	Proceedings of the First International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’16): Volume 1	Ajith Abraham; Sergey Kovalev; Valery Tarassov; Václav Snášel	1st ed. 2016	Springer International Publishing
Chapter	Author(s)	Book	Book Authors	Year	Publisher

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