Fundamentals of Neural Networks or Systemc

Fundamentals of Neural Networks: Architectures, Algorithms and Applications

Author: Laurene V Fausett

Providing detailed examples of simple applications, this new book introduces the use of neural networks. It covers simple neural nets for pattern classification; pattern association; neural networks based on competition; adaptive-resonance theory; and more. For professionals working with neural networks.

Table of Contents:

	Preface
	Acknowledgments	1
Ch. 1	Introduction
1.1	Why Neural Networks and Why Now?	1
1.2	What Is a Neural Net?	3
1.3	Where Are Neural Nets Being Used?	7
1.4	How Are Neural Networks Used?	11
1.5	Who Is Developing Neural Networks?	22
1.6	When Neural Nets Began: the McCulloch-Pitts Neuron	26
Ch. 2	Simple Neural Nets for Pattern Classification	39
2.1	General Discussion	39
2.2	Hebb Net	48
2.3	Perceptron	59
2.4	Adaline	80
Ch. 3	Pattern Association	101
3.1	Training Algorithms for Pattern Association	103
3.2	Heteroassociative Memory Neural Network	108
3.3	Autoassociative Net	121
3.4	Iterative Autoassociative Net	129
3.5	Bidirectional Associative Memory (BAM)	140
Ch. 4	Neural Networks Based on Competition	156
4.1	Fixed-Weight Competitive Nets	158
4.2	Kohonen Self-Organizing Maps	169
4.3	Learning Vector Quantization	187
4.4	Counterpropagation	195
Ch. 5	Adaptive Resonance Theory	218
5.1	Introduction	218
5.2	Art1	222
5.3	Art2	246
Ch. 6	Backpropagation Neural Net	289
6.1	Standard Backpropagation	289
6.2	Variations	305
6.3	Theoretical Results	324
Ch. 7	A Sampler of Other Neural Nets	334
7.1	Fixed Weight Nets for Constrained Optimization	335
7.2	A Few More Nets that Learn	362
7.3	Adaptive Architectures	385
7.4	Neocognitron	398
	Glossary	422
	References	437
	Index	449

Interesting book: Mushrooms or Passion for Protein

Systemc: From the Ground Up

Author: David C Black

SystemC provides a robust set of extensions to C++ that enables rapid development of complex hardware/software systems. This book focuses on the practical uses of the language for modeling real systems. The wealth of examples and downloadable code methodically guide the reader through the finer points of the SystemC language.

This work provides:

- A step-by-step build-up of syntax

- NEW features of SystemC 2.1

- Code examples for each concept,
- Many resource references

- Coding styles and guidelines

- Over 52 downloadable code examples (over 8,000 lines)

- Exercises throughout the book

- How SystemC fits into the system design methodology

- Why features are as they are

Well known consultants in the EDA industry, both David Black and Jack Donovan have been involved in the adoption and teaching of new technologies and methodologies for a combined total of 42+ years. Recently, they jointly founded a consultancy, Eklectic Ally, focused on helping companies adopt SystemC methodologies.