Pattern Recognition with Neural Networks in C++
The addition of artificial neural network computing to traditional pattern recognition has given rise to a new, different, and more powerful methodology that is presented in this interesting book. Get and download textbook Pattern Recognition with Neural Networks in C++ for free
Categories: Neural networks (Computer science), C++ (Computer program language)->Neural networks, Neural networks (Computer science). Contributors: Abhijit S. Pandya - Author. Format: Hardcover
This is a practical guide to the application of artificial neural networks.
Geared toward the practitioner, Pattern Recognition with Neural Networks in C++ covers pattern classification and neural network approaches within the same framework. Through the book's presentation of underlying theory and numerous practical examples, readers gain an understanding that will allow them to make judicious design choices rendering neural application predictable and effective. The book provides an intuitive explanation of each method for each network paradigm. Pattern Recognition with Neural Networks in C++ new edition
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Pattern Recognition with Neural Networks in C++: Abhijit S. Pandya, Robert B. Macy
Categories: Neural networks (Computer science), C++ (Computer program language)->Neural networks, Neural networks (Computer science). Contributors: Abhijit S. Pandya - Author. Format: Hardcover
Categories: Neural networks (Computer science), C++ (Computer program language)->Neural networks, Neural networks (Computer science). Contributors: Abhijit S. Pandya - Author. Format: Hardcover
Categories: Neural networks (Computer science), C++ (Computer program language)->Neural networks, Neural networks (Computer science). Contributors: Abhijit S. Pandya - Author. Format: Hardcover
Pattern Recognition with Neural Networks in C++ Textbook
This is a practical guide to the application of artificial neural networks.
Geared toward the practitioner, Pattern Recognition with Neural Networks in C++ covers pattern classification and neural network approaches within the same framework. Through the book's presentation of underlying theory and numerous practical examples, readers gain an understanding that will allow them to make judicious design choices rendering neural application predictable and effective. The book provides an intuitive explanation of each method for each network paradigm
his is a practical guide to the application of artificial neural networks.
Geared toward the practitioner, Pattern Recognition with Neural Networks in C++ covers pattern classification and neural network approaches within the same framework. Through the book's presentation of underlying theory and numerous practical examples, readers gain an understanding that will allow them to make judicious design choices rendering neural application predictable and effective. The book provides an intuitive explanation of each method for each network paradigm.
