Self-training Network with the Sells Implementing Predicate Formulas
Keywords:
artificial intelligence, pattern recognition, predicate calculus formulas, level description of a class, self-training recognition networkAbstract
A model of self-modificated predicate network with cells implementing predicate formulas in the form of elementary conjunction is suggested. Unlike a classical neuron network the proposed model has two blocks: a training block and a recognition block. If a recognition block has a mistake then the control is transfered to a training block. Always after a training block implementation the configuration of a recognition block is changed. The base of the proposed logic-predicate network is a logic-objective approach to AI problems solving and level description of classes as well as the notion of partial deducibility which allows to extract common sub-formulas of elementary conjunctionsReferences
Published
2015-11-25
How to Cite
Kosovskaya, T. (2015). Self-training Network with the Sells Implementing Predicate Formulas. SPIIRAS Proceedings, 6(43), 94-113. https://doi.org/10.15622/sp.43.6
Section
Theoretical and Applied Mathematics
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