[PDF.93av] Pattern Recognition Using Neural Networks: Theory and Algorithms for Engineers and Scientists

Pattern Recognition Using Neural Networks: Theory and Algorithms for Engineers and Scientists

[PDF.pb04] Pattern Recognition Using Neural Networks: Theory and Algorithms for Engineers and Scientists

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 | #3501631 in Books |  1997-02-20 | Ingredients: Example Ingredients | Original language:English | PDF # 1 |  9.50 x1.04 x7.63l,2.22 | File type: PDF | 480 pages

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||1 of 3 people found the following review helpful.| If you want to learn about neural nets DO NOT BUY THIS BOOK!|By G A Williamson Jr|I started writing out all the things I hated about this book and toped out the 1000-word limit, so I decided to just keep it short.
The first thing I hated about this book is that, while it advertises itself as being a general resource for pattern recognition using neural network technology,| |"Pattern Recognition Using Neural Networks makes its subject easy to understand by offering intuitive explanations and examples. ...an excellent resource for those who want to implement neural networks, rather than just learn the theory."--Mark Kvale,

Pattern Recognition Using Neural Networks covers traditional linear pattern recognition and its nonlinear extension via neural networks. The approach is algorithmic for easy implementation on a computer, which makes this a refreshing what-why-and-how text that contrasts with the theoretical approach and pie-in-the-sky hyperbole of many books on neural networks. It covers the standard decision-theoretic pattern recognition of clustering via minimum distance, grap...

You easily download any file type for your gadget.Pattern Recognition Using Neural Networks: Theory and Algorithms for Engineers and Scientists   |  Carl G. Looney. I have read it a couple of times and even shared with my family members. Really good. Couldnt put it down.

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