"Towards Robust Nonlinear Multivariate Analysis by Neural Network Methods"

entries per page

Filter:

Showing 1 to 20 of 100 entries

Book	Author(s)	Year	Publisher
Robust Multivariate Analysis	David J. Olive	1st ed. 2017	Springer International Publishing
Nonlinear multivariate analysis	Albert Gifi	1990	Wiley
Mathematical methods for neural network analysis and design /	Golden, Richard M.	[1996], ©1996.	MIT Press,
Synthetic Gene Network: Modeling, Analysis and Robust Design Methods	Bor-Sen Chen; Yu-Chao Wang	2014	Routledge
Methods of multivariate analysis /	Rencher, Alvin C.,	[1995], ©1995.	Wiley,
Methods of multivariate analysis /	Rencher, Alvin C.,	[2002], ©2002.	J. Wiley,
Methods of multivariate analysis	Alvin C. Rencher	1995	Wiley
Nonlinear dynamical systems: feedforward neural network perspectives	Irwin W. Sandberg; James T. Lo; Craig L. Fancourt; José C. Principe; Shigeru Katagiri; Simon Haykin	2001	John Wiley
Neural Network Models: An Analysis	Philippe de Wilde	1996	Springer Berlin Heidelberg
Neural network analysis using Simulnet	Edward J. Rzempoluck	1998	Springer
Robust and Fault-Tolerant Control: Neural-Network-Based Solutions	Krzysztof Patan	1st ed. 2019	Springer International Publishing
Nonparametric methods in multivariate analysis	Madan Lal Puri, Pranab Kumar Sen	1971	Wiley
Multivariate analysis: methods and applications	William R. Dillon	1984	Wiley
Nonlinear Identification and Control: A Neural Network Approach	G.P. Liu	2001	Springer London
Neural Network Control of Nonlinear Discrete-Time Systems	Jagannathan Sarangapani	2006	Routledge
Methods in Nonlinear Analysis	Kung-Ching Chang	2005	Springer Berlin Heidelberg
Methods of Nonlinear Analysis	Richard Bellman	1973	Elsevier
Methods of Nonlinear Analysis	Richard Bellman	1970	Elsevier
Robust Methods and Asymptotic Theory in Nonlinear Econometrics	H. J. Bierens	1981	Springer Berlin Heidelberg
Data depth: robust multivariate analysis, computational geometry, and applications /	Liu, Regina Y.; Serfling, Robert J.; Souvaine, Diane L.	c2006.	American Mathematical Society,
Boook	Author(s)	Year	Publisher

Showing 1 to 20 of 100 entries

entries per page

Filter:

Showing 1 to 20 of 100 entries

Chapter	Author(s)	Book	Book Authors	Year	Publisher
Towards Robust Nonlinear Multivariate Analysis by Neural Network Methods	William W. Hsieh; Alex J. Cannon	Nonlinear Time Series Analysis in the Geosciences: Applications in Climatology, Geodynamics and Solar-Terrestrial Physics	Reik V. Donner; Susana M. Barbosa	2008	Springer Berlin Heidelberg
Robust Stability of Nonlinear Neural-Network Modeled Systems	Jong-Bae Lee; Chang-Woo Park; Ha-Gyeong Sung	Advances in Natural Computation: Second International Conference, ICNC 2006, Xi' an, China, September 24-28, 2006, Proceedings, Part I	Licheng Jiao; Lipo Wang; Xinbo Gao; Jing Liu; Feng Wu	2006	Springer Berlin Heidelberg
Nonlinear Generalized Canonical Correlation Analysis by Neural Network Models	Yoshio Takane; Yuriko Oshima-Takane	Measurement and Multivariate Analysis	Shizuhiko Nishisato; Y. Baba; H. Bozdogan; K. Kanefuji	2002	Springer Japan
Robust Multivariate Methods in Geostatistics	Peter Filzmoser; Clemens Reimann	Classification, Automation, and New Media: Proceedings of the 24th Annual Conference of the Gesellschaft für Klassifikation e. V. , University of Passau, March 15—17, 2000	Wolfgang A. Gaul; Gunter Ritter	2002	Springer Berlin Heidelberg
Neural Network Methods	Kai-Yuan Cai	Software Defect and Operational Profile Modeling	Kai-Yuan Cai	1998	Springer US
Neural Network Methods		Real-time analytics: techniques to analyze and visualize streaming data	Ellis, Byron	2014	Wiley
Robust Neural Network Pruning by Cooperative Coevolution	Jia-Liang Wu; Haopu Shang; Wenjing Hong; Chao Qian	Parallel Problem Solving from Nature – PPSN XVII: 17th International Conference, PPSN 2022, Dortmund, Germany, September 10–14, 2022, Proceedings, Part I	Günter Rudolph; Anna V. Kononova; Hernán Aguirre; Pascal Kerschke; Gabriela Ochoa; Tea Tušar	1st ed. 2022	Springer International Publishing
Multivariate Statistics Neural Network Models	Basilio de Bragança Pereira; Calyampudi Radhakrishna Rao; Fábio Borges de Oliveira	Statistical Learning Using Neural Networks: A Guide for Statisticians and Data Scientists	Basilio de Braganca Pereira; Calyampudi Radhakrishna Rao; Fabio Borges de Oliveira	2020	Routledge
Chapter 13 Robust Multivariate Analysis		Applied Multivariate Statistical Analysis and Related Topics with R	Lang WU; Jin QIU	2021	EDP Sciences
Towards Robust Speech Analysis	Jean-Claude Junqua; Jean-Paul Haton	Robustness in Automatic Speech Recognition: Fundamentals and Applications	Jean-Claude Junqua; Jean-Paul Haton	1996	Springer US
Neural Network Analysis	Amit Joshi; Jitendra Sasumana; Nillohit Mitra Ray; Vikas Kaushik	Advances in Bioinformatics	Vijai Singh; Ajay Kumar	1st ed. 2021	Springer Nature Singapore
Nonlinear Analysis Methods		Nonlinear Microwave Circuit Design	F. Giannini	2004	John Wiley & Sons
Methods of multivariate analysis		Multivariate methods in aquaculture research: case studies of Tilapias in experimental and commercial systems	M. Prein; D. Pauly	1993	International Center for Living Aquatic Resources Management;Agricultural Research Organization;Bundesministerium für Wirtschaftliche Zusammenarbeit und Entwicklung
Towards designing neural network ensembles by evolution	Yong Liu; Xin Yao	Parallel Problem Solving from Nature - PPSN V: 5th International Conference, Amsterdam, The Netherlands, September 27-30, 1998, Proceedings	Agoston E. Eiben; Thomas Bäck; Marc Schoenauer; Hans-Paul Schwefel	1998	Springer Berlin Heidelberg
Robust Adaptive Neural Network Control for Nonlinear Time-Delay Systems	Geng Ji	Advances in Intelligent Systems: Selected papers from 2012 International Conference on Control Systems (ICCS 2012), March 1-2, Hong Kong	Gary Lee	2012	Springer Berlin Heidelberg
Performance analysis of artificial neural network methods	Benito R. Fernández	Artificial Neural Networks for Intelligent Manufacturing	Cihan H. Dagli	1994	Springer Netherlands
Graph Neural Network Methods		Embeddings in Natural Language Processing: Theory and Advances in Vector Representations of Meaning	Mohammad Taher Pilehvar, Jose Camacho-Collados	2020	Morgan & Claypool
Multivariate Fuzzy Perturbed Neural Network Approximations	George A. Anastassiou	Intelligent Systems II: Complete Approximation by Neural Network Operators	George A. Anastassiou	2016	Springer International Publishing
Multivariate Sigmoidal Neural Network Quantitative Approximation	George A. Anastassiou	Intelligent Systems: Approximation by Artificial Neural Networks	George A. Anastassiou	2011	Springer Berlin Heidelberg
Nonlinear System Stabilisation by an Evolutionary Neural Network	Wasan Srikasam; Nachol Chaiyaratana; Suwat Kuntanapreeda	Advances in Neural Networks - ISNN 2006: Third International Symposium on Neural Networks, ISNN 2006, Chengdu, China, May 28 - June 1, 2006, Proceedings, Part II	Jun Wang; Zhang Yi; Jacek M. Zurada; Bao-Liang Lu; Yin Hujun	2006	Springer Berlin Heidelberg
Chapter	Author(s)	Book	Book Authors	Year	Publisher

Showing 1 to 20 of 100 entries

"Towards Robust Nonlinear Multivariate Analysis by Neural Network Methods" - similar Books and Chapters