Neural Networks by Satish Kumar
Artificial Neural Networks are Mathematical Algorithms for pattern classification, pattern recognition, long term memory, short term memory implementations etc.
There are different models of Neural networks, they are: Perceptrons, Multilayer perceptrons, MLP, Mc Cullock Pitts Model, Adaline, BPN, recurrent networks, SOM, CPN, ART1, ART2 etc
This time I am going to introduce a book Neural Networks : "Neural Network a classroom approach " written by Sathish Kumar: Publisher Tata Mc Graw Hill.
This is very nice book which can be easily followed by Engineering and degree students on computer science. It gives not only the in depth ideas, but also the practical results using Matlab.
There are various tools for working out with Neural networks:
NN tool in MATLAB
So experience using the tools
Neural Networks by Satish Kumar B01_0234
Book (McGraw Hill Higher Education)
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