Learning algorithm and retrieval process for the multiple classes random neural network model

Neural Processing Letters

Volumn 13, Issue 1, 2001, Pages 81-91

  Aguilar, Jose ^a  

^a UNIVERSIDAD DE LOS ANDES   (Venezuela)

Author keywords

Color pattern recognition; Learning algorithm; Multiple classes random neural network; Retrieval process

Indexed keywords

COLOR IMAGE PROCESSING; INFORMATION RETRIEVAL; LEARNING ALGORITHMS; NONLINEAR EQUATIONS; PATTERN RECOGNITION; PROBABILITY; QUEUEING THEORY;

COLOR PATTERNS; GRADIENT DESCENT; MULTIPLE CLASSES RANDOM NEURAL NETWORK MODEL; NEURONS; QUADRATIC ERROR FUNCTION;

NEURAL NETWORKS;

EID: 0035251340     PISSN: 13704621     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1009611918681     Document Type: Article

References (12)

1. Evolutionary learning on recurrent random neural network
2. An energy function for the random neural networks
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4. Definition of an energy function for the random neural to solve optimization problems
5. Resolution of pattern recognition problems using a hybrid genetic/random neural network learning algorithm
6. The random neural network model for texture generation
7. Constructive learning of recurrent neural network
8. Random neural networks with positive and negative signals and product form solution
9. Stability of the random neural networks
10. Theory of the random neural network model
11. Learning in the recurrent random neural network
12. G-networks with multiple classes of negative and positive customers