Zhang et al., 2006 - Google Patents
Evolving neural network classifiers and feature subset using artificial fish swarmZhang et al., 2006
- Document ID
- 2119630646910144823
- Author
- Zhang M
- Shao C
- Li F
- Gan Y
- Sun J
- Publication year
- Publication venue
- 2006 international conference on mechatronics and automation
External Links
Snippet
As a novel simulated evolutionary computation technique, artificial fish swarm algorithm (AFSA) shows many promising characters. This paper presents the use of AFSA as a new tool which sets up a neural network (NN), adjusts its parameters, and performs feature …
- 230000001537 neural 0 title abstract description 30
Classifications
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- G06N3/08—Learning methods
- G06N3/082—Learning methods modifying the architecture, e.g. adding or deleting nodes or connections, pruning
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- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computer systems based on biological models
- G06N3/12—Computer systems based on biological models using genetic models
- G06N3/126—Genetic algorithms, i.e. information processing using digital simulations of the genetic system
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- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
- G06K9/6232—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods
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