Neural Networks: A Comprehensive Foundation (2nd Edition)
โ Scribed by Simon Haykin
- Publisher
- Prentice Hall
- Year
- 1998
- Tongue
- English
- Leaves
- 823
- Edition
- 2
- Category
- Library
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
Provides a comprehensive foundation of neural networks, recognizing the multidisciplinary nature of the subject, supported with examples, computer-oriented experiments, end of chapter problems, and a bibliography. DLC: Neural networks (Computer science).
This book provides a comprehensive foundation of neural networks, recognizing the multidisciplinary nature of the subject. The material presented in the book is sup?ported with examples, computer-oriented experiments, end-of-chapter problems, and a bibliography.
Provides a comprehensive foundation of neural networks, recognizing the multidisciplinary nature of the subject, supported with examples, computer-oriented experiments, end of chapter problems, and a bibliography. DLC: Neural networks (Computer science).
<P style=''MARGIN: 0px''> <B>For graduate-level neural network courses offered in the departments of Computer Engineering, Electrical Engineering, and Computer Science.</B> </P> <P style=''MARGIN: 0px''>ย </P> <P style=''MARGIN: 0px''> <I>Neural Networks and Learning Machines, Third Edition</I> is
Neural networks were developed to simulate the human nervous system for Machine Learning tasks by treating the computational units in a learning model in a manner similar to human neurons. The grand vision of neural networks is to create artificial intelligence by building machines whose architectur