Application of probabilistic neural network to design breakwater armor blocks
β Scribed by Dookie Kim; Dong Hyawn Kim; Seongkyu Chang
- Publisher
- Elsevier Science
- Year
- 2008
- Tongue
- English
- Weight
- 300 KB
- Volume
- 35
- Category
- Article
- ISSN
- 0029-8018
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π SIMILAR VOLUMES
The asymptotic stability of a continuous neural network is analyzed for associative memory. An optimal design method is proposed which ensures the highest associative memory speed and guarantees the storage of each desired memory with attractivity. The network asymptotic stability is analyzed by mea
In classification problems the most commonly used neural network is probably the multilayer perceptron network (MLPN). The probabilistic neural network (PNN) is a possible alternative to the MLPN. The PNN is based on the Bayesian approach and a non-parametric estimation of the probability density fu