[PDF.40fy] Introduction to Pattern Recognition : Statistical, Structural, Neural and Fuzzy Logic Approaches (Series in Machine Perception and Artificial Intelligence)

Introduction to Pattern Recognition : Statistical, Structural, Neural and Fuzzy Logic Approaches (Series in Machine Perception and Artificial Intelligence)

[PDF.no68] Introduction to Pattern Recognition : Statistical, Structural, Neural and Fuzzy Logic Approaches (Series in Machine Perception and Artificial Intelligence)

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 | #3922826 in Books |  World Scientific Pub Co Inc |  1999-03-02 | Original language:English | PDF # 1 |  10.08 x1.08 x6.94l,1.72 | File type: PDF | 329 pages

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||1 of 1 people found the following review helpful.| Excellent Introduction|By Perry Sakkaris|This is one of the best introductions into statistical pattern recognition that you will find. Explains the mathematics behind the algorithms very effectively. Used this text in a grad course a couple years ago but you don't need to be a grad student to understand and use the concepts in this text, I have re-read various chapters of this

This book is an introduction to pattern recognition, meant for undergraduate and graduate students in computer science and related fields in science and technology. Most of the topics are accompanied by detailed algorithms and real world applications. In addition to statistical and structural approaches, novel topics such as fuzzy pattern recognition and pattern recognition via neural networks are also reviewed. Each topic is followed by several examples solved in detail...

You can specify the type of files you want, for your device.Introduction to Pattern Recognition : Statistical, Structural, Neural and Fuzzy Logic Approaches (Series in Machine Perception and Artificial Intelligence)   |  Menahem Friedman, Abraham Kandel. Which are the reasons I like to read books. Great story by a great author.

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