Neural Networks for Optimization and Signal Processing

Main
Computers - Computer Science
Neural Networks for Optimization and...

Neural Networks for Optimization and Signal Processing

Andrzej Cichocki, R. Unbehauen

0 / 0

Quanto Você gostou deste livro?

Qual é a qualidade do ficheiro descarregado?

Descarregue o livro para avaliar a sua qualidade

De que qualidade são os ficheiros descarregados?

Categorias:

Computers - Computer Science

Ano:

1993

Editora:

Wiley

Idioma:

english

Páginas:

549

ISBN 10:

0471930105

ISBN 13:

9780471930105

Arquivo:

PDF, 28.19 MB

IPFS:

,

english, 1993

Ler online

A converter para

Conversão para falhou

Você pode estar interessado em

Andrzej Cichocki, Rafal Zdunek, Anh Huy Phan, Shun-ichi Amari — Nonnegative Matrix and Tensor Factorizations: Applications to Exploratory Multi-way Data Analysis and Blind Source Separation

Yu Hen Hu, Jenq-Neng Hwang — Handbook of Neural Network Signal Processing

Lipo Wang — Advances in Natural Computation

Bogdan M. Wilamowski, J. David Irwin — Intelligent Systems, 2nd Ed

Indranath, Chatterjee — Machine Learning and Its Application: A Quick Guide for Beginners

Nelson, Hala; — Essential Math for AI

Nelson H. — Essential Math for AI. Next-Level Mathematics...AI Systems 2023

Cornelius T. Leondes — Optimization Techniques (Neural Network Systems Techniques and Applications)

P. Gill, W. Murray — Numerical Methods for Constrained Optimization

Leondes C.T. (Ed.) — Neural Network Systems Techniques and Applications. Volume 2. Optimization Techniques

Olvi L. Mangasarian, etc — Nonlinear Programming 3. Proceedings of the Special Interest Group on Mathematical Programming Symposium Conducted by the Computer Sciences Department at the University of Wisconsin–Madison, July 11–13, 1977

Olvi L. Mangasarian, etc — Nonlinear Programming 4. Proceedings of the Nonlinear Programming Symposium 4 Conducted by the Computer Sciences Department at the University of Wisconsin–Madison, July 14–16, 1980

Xin-She Yang — Introduction to Algorithms for Data Mining and Machine Learning

Seyedeh Leili Mirtaheri, Reza Shahbazian — Machine Learning Theory to Applications: Theory to Applications

Seyedeh Leili Mirtaheri, Reza Shahbazian — Machine Learning: Theory to Applications

Nocedal, Jorge;Wright, Stephen J — Numerical optimization

K. L. Hoffman — Computational mathematical programming

A.G. Buckley, J-.L. Goffin — Algorithms for constrained minimization of smooth nonlinear functions

Danilo Mandic, Jonathon Chambers — Recurrent neural networks for prediction: learning algorithms, architectures, and stability

Jorge J. Moré, Stephen J. Wright — Optimization software guide

Chuck Easttom — Machine Learning for Neuroscience; A Systematic Approach

Robert H. Chen & Chelsea Chen — Artificial Intelligence: An Introduction to the Big Ideas and their Development; 2nd Edition

Hala Nelson — Essential Math for AI: Next-Level Mathematics for Developing Efficient and Successful AI Systems

Hala Nelson — Essential Math for AI (Fifth Early Release)

Kelvin K. L. Wong — Cybernetical Intelligence: Engineering Cybernetics with Machine Intelligence

Bogdan M. Wilamowski, J. David Irwin — The Industrial Electronics Handbook. Second Edition: Intelligent Systems

Johan A. K. Suykens, Joos P. L. Vandewalle, Bart L. R. De Moor (auth.) — Artificial Neural Networks for Modelling and Control of Non-Linear Systems

Ke-Lin Du, M. N. S. Swamy — Neural Networks and Statistical Learning

Dr. Ganapathi Pulipaka — A Greater Foundation for Machine Learning Engineering: The Hallmarks of the Great Beyond in Pytorch, R, Tensorflow, and Python

Indranath Chatterjee — Machine Learning and Its Application: A Quick Guide for Beginners

Min Huang, Baotong Cui (auth.), Lipo Wang, Ke Chen, Yew Soon Ong (eds.) — Advances in Natural Computation: First International Conference, ICNC 2005, Changsha, China, August 27-29, 2005, Proceedings, Part I

Shotaro Akaho (auth.), Véra Kůrková, Roman Neruda, Jan Koutník (eds.) — Artificial Neural Networks - ICANN 2008: 18th International Conference, Prague, Czech Republic, September 3-6, 2008, Proceedings, Part I

Buckley A.G., Goffin J.-L. (eds.) — Algorithms for Constrained Minimization of Smooth Nonlinear Functions

Hoffman K.L., et al. (eds.) — Computational Mathematical Programming

Dmitry Beliaev — International Congress of Mathematicians 2022 July 6–14 Proceedings: Sections 15-20

Frases chave