This paper describes the implementation of a genetic algorithm to evolve the population of weight matrices for storing and recalling the patterns in a Hopfield type neural network model. In the Hopfield type neural network of associative memory, the appropriate arrangement of synaptic weights provid
โฆ LIBER โฆ
Object recognition using genetic algorithms with a Hopfield's neural model
โ Scribed by Jeng-Sheng Huang; Hsiao-Chung Liu
- Book ID
- 108475918
- Publisher
- Elsevier Science
- Year
- 1997
- Tongue
- English
- Weight
- 762 KB
- Volume
- 13
- Category
- Article
- ISSN
- 0957-4174
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
Pattern recall analysis of the Hopfield
โ
Somesh Kumar; Manu Pratap Singh
๐
Article
๐
2010
๐
Elsevier Science
๐
English
โ 303 KB
Object recognition using a neural networ
โ
Lee Jiann-Der
๐
Article
๐
1997
๐
Elsevier Science
๐
English
โ 997 KB
In this paper, a neural network using an optimal linear feature extraction scheme is proposed to recognize two-dimensional objects in an industrial environment. This approach consists of two stages. First, the procedures of determining the coefficients of normalized rapid descrip tor (NBD) of unkno
Recognition of facial images with low re
โ
Ying Dai; Yasuaki Nakano
๐
Article
๐
1998
๐
Elsevier Science
๐
English
โ 681 KB
Resolution of pattern recognition proble
โ
J. Aguilar; A. Colmenares
๐
Article
๐
1998
๐
Springer-Verlag
๐
English
โ 852 KB
Comparison between Lamarckian and Darwin
โ
Takahiro Sasaki; Mario Tokoro
๐
Article
๐
2000
๐
Springer-Verlag
๐
English
โ 499 KB
Ore Grade Prediction Using a Genetic Alg
โ
Snehamoy Chatterjee; Sukumar Bandopadhyay; David Machuca
๐
Article
๐
2010
๐
Springer-Verlag
๐
English
โ 853 KB