This is the first practical guide that enables you to actually work with artificial neural networks on your personal computer. It provides basic information on neural networks, as well as the following special features:
source code listings in C**actual case studies in a wide range of applications, including radar signal detection, stock market prediction, musical composition, ship pattern recognition, and biopotential waveform classification**CASE tools for neural networks and hybrid expert system/neural networks**practical hints and suggestions on when and how to use neural network tools to solve real-world problems.
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|Size: ||26.9 MB|
|Publisher: ||Academic Press|
|Date published: || 2014|
|ISBN: ||9781483297002 (DRM-PDF)|
|Read Aloud: ||not allowed|