Biologically Inspired Modular Neural Networks

Biologically Inspired Modular Neural Networks

This dissertation explores the modular learning in artificial neural networks that mainly driven by the inspiration from the neurobiological basis of the human learning. The presented modularization approaches to the neural network design and learning are inspired by the engineering, complexity, psy...

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Bibliographic Details
Main Author: Azam, Farooq
Other Authors: Electrical and Computer Engineering
Format: Others
Published: Virginia Tech 2014
Subjects:
a priori expert knowledge
generalization
artificial neural networks
accuracy
robustness
Biologically inspired neural networks
modular neural networks
principle of divide and conquer
Online Access:http://hdl.handle.net/10919/27998
http://scholar.lib.vt.edu/theses/available/etd-06092000-12150028/

Internet

http://hdl.handle.net/10919/27998
http://scholar.lib.vt.edu/theses/available/etd-06092000-12150028/

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