Introduction To Neural Networks Using Matlab 6.0 .pdf ((full)) -

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" Introduction to Neural Networks Using MATLAB 6.0 "

The book by S. Sivanandam and S. Sumathi is a foundational text for undergraduate students and researchers transitioning into the world of artificial intelligence using the MATLAB environment. Released in 2006, it serves as both a theoretical primer on Artificial Neural Networks (ANN) and a practical manual for implementing them via the Neural Network Toolbox . Core Concepts and Theoretical Framework

Yes, for three reasons:

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Conclusion

Chapter 4: The newff Function – Feed-Forward Networks

• Function Approximation: Fitting a sine wave using sim and plot.
• Pattern Recognition: Classifying iris species (Fisher’s Iris dataset loaded via load iris.dat).
• Simple Prediction: Time series prediction using a tapped delay line.

Weaknesses: