Yang, Wei (2000) A comparison of training techniques : ADALINE, back propagation and genetic algorithms. Other thesis, Concordia University.
This study is in the area of neural network architectures and training algorithms. The emphasis is placed on the comparisons of ADALINE, Back Propagation and Genetic Algorithms in training neural networks. Concrete examples are developed to illustrate and reveal the fundamental theories of neural networks, and demonstrate the strengths and weaknesses of ADALINE, Back Propagation and Genetic Algorithms. An object-oriented approach is applied in the overall analysis and design of the neural network architectures. The Object-oriented programming with C++ is used to facilitate the development and implementation of the neural network architectures and training algorithms.
|Divisions:||Concordia University > Faculty of Engineering and Computer Science > Computer Science and Software Engineering|
|Item Type:||Thesis (Other)|
|Pagination:||vii, 120 leaves : ill. ; 29 cm.|
|Degree Name:||Major reports (M.Comp.Sc.)|
|Program:||Computer Science and Software Engineering|
|Thesis Supervisor(s):||Grogono, Peter|
|Deposited By:||Concordia University Libraries|
|Deposited On:||27 Aug 2009 17:16|
|Last Modified:||08 Dec 2010 15:18|
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