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Fundamentals of Neural Networks: Architectures, Algorithms...

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Fundamentals of Neural Networks:...

Fundamentals of Neural Networks: Architectures, Algorithms and Applications

Laurene V. Fausett

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როგორ მოგეწონათ ეს წიგნი?

როგორი ხარისხისაა ეს ფაილი?

ჩატვირთეთ, ხარისხის შესაფასებლად

როგორი ხარისხისაა ჩატვირთული ფაილი?

კატეგორია:

Computers - Computer Science

წელი:

1993

გამოცემა:

Paperback

გამომცემლობა:

Pearson

ენა:

english

გვერდები:

480

ISBN 10:

0133341860

ISBN 13:

9780133341867

სერია:

1

ფაილი:

PDF, 5.61 MB

IPFS:

,

english, 1993

ონლაინ წაკითხვა

ხორციელდება კონვერტაციის -ში

კონვერტაციის -ში ვერ მოხერხდა

შესაძლოა დაგაინტერესოთ

Simon Haykin — Neural Networks: A Comprehensive Foundation

Laurene V. Fausett — Fundamentals of Neural Networks

L. P. J. Veelenturf — Analysis and Applications of Artificial Neural Networks

Bishop — Neural Networks for Pattern Recognition

John A. Hertz, Anders S. Krogh, Richard G. Palmer — Introduction To The Theory Of Neural Computation

Michael A. Arbib — Handbook of brain theory and neural networks

Kishan Mehrotra, Chilukuri K. Mohan, Sanjay Ranka — Elements of artificial neural networks

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

Madan M. Gupta, Liang Jin, Noriyasu Homma — Static and dynamic neural networks: from fundamentals to advanced theory

Martin Anthony, Peter L. Bartlett — Neural Network Learning: Theoretical Foundations

Kevin L. Priddy, Paul E. Keller — Artificial Neural Networks: An Introduction

Sing-Tze Bow — Pattern Recognition and Image Preprocessing

Lance D. Chambers — Practical Handbook of Genetic Algorithms: Complex Coding Systems, Volume III

DARPA Neural Network Study (U.S.) — Artificial neural networks technology. DACS report

Martin T. Hagan et al. — Neural Network Design

Tariq Rashid — Make Your Own Neural Network

Michael Taylor — Neural Networks: A Visual Introduction for Beginners

Rezaul Begg, Joarder Kamruzzaman, Ruhul Sarkar — Neural Networks in Healthcare: Potential And Challenges

Kevin Gurney — An introduction to neural networks

Carlo Batini, Monica Scannapieco — Data Quality: Concepts, Methodologies and Techniques

Yves Kodratoff (auth.), Georgios Paliouras, Vangelis Karkaletsis, Constantine D. Spyropoulos (eds.) — Machine Learning and Its Applications: Advanced Lectures

P. J. Braspenning (auth.), P. J. Braspenning, F. Thuijsman, A. J. M. M. Weijters (eds.) — Artificial Neural Networks: An Introduction to ANN Theory and Practice

Xiaolin Hu, P. Balasubramaniam — Recurrent Neural Networks

Daniel Graupe — Principles of artificial neural networks

Daniel Graupe — Principles of Artificial Neural Networks

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