This volume covers practical and effective implementation techniques, including recurrent methods, Boltzmann machines, constructive learning with methods for the reduction of complexity in neural network systems, modular systems, associative memory, neural network design based on the concept of the
Artificial Neural Network Training and Software Implementation Techniques
β Scribed by Ali Kattan; Rosni Abdullah; Zong Woo Geem
- Publisher
- Nova Science Publishers, Incorporated
- Year
- 2011
- Tongue
- English
- Leaves
- 68
- Series
- Computer Networks
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
Artificial neural networks (ANN) are widely used in diverse fields of science and industry. Though there have been numerous techniques used for their implementations, the choice of a specific implementation is subjected to different factors including cost, accuracy, processing speed and overall performance. Featured with synaptic plasticity, the process of training is concerned with adjusting the individual weights between each of the individual ANN neurons until we can achieve close to the desired output. This book introduces the common trajectory-driven and evolutionary-based ANN training algorithms.
β¦ Subjects
Neural networks (Computer science); COM043000
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