Investigations in neural network learning using geometrical approach

Investigations in neural network learning using geometrical approach

In this thesis several methods to control the geometrical expansion process are proposed and analyzed. Our approaches turn out to gain faster training speed with satisfactory accuracy. We discuss problems both with Boolean inputs and with real-valued inputs respectively.

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Bibliographic Details
Main Author: Wang, Di
Other Authors: Narendra Shivaji Chaudhari
Format: Theses and Dissertations
Published: 2008
Subjects:
DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
Online Access:https://hdl.handle.net/10356/2517
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Institution: Nanyang Technological University
Description
Summary:In this thesis several methods to control the geometrical expansion process are proposed and analyzed. Our approaches turn out to gain faster training speed with satisfactory accuracy. We discuss problems both with Boolean inputs and with real-valued inputs respectively.

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