A comparison of training techniques : ADALINE, back propagation and genetic algorithms
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 ne...
Main Author: | Yang, Wei |
---|---|
Format: | Others |
Published: |
2000
|
Online Access: | http://spectrum.library.concordia.ca/1107/1/MQ47857.pdf Yang, Wei <http://spectrum.library.concordia.ca/view/creators/Yang=3AWei=3A=3A.html> (2000) A comparison of training techniques : ADALINE, back propagation and genetic algorithms. Other thesis, Concordia University. |
Similar Items
-
A Novel Approach for an MPPT Controller Based on the ADALINE Network Trained with the RTRL Algorithm
by: Julie Viloria-Porto, et al.
Published: (2018-12-01) -
COMPARISON OF PRONY AND ADALINE METHOD IN INTER-HARMONIC ESTIMATION
by: Fahri Vatansever, et al.
Published: (2020-04-01) -
Function Approximation Using Generalized Adalines
by: Pei-Hsun Hsu, et al.
Published: (2003) -
Design of ADALINE Algorithm for Three-Level Neutral-Point-Clamped STATCOM
by: Shou-Fu Lee, et al.
Published: (2011) -
Code and data from an ADALINE network trained with the RTRL and LMS algorithms for an MPPT controller in a photovoltaic system
by: Julie Viloria-Porto, et al.
Published: (2020-10-01)