Learning apparatus and method

Details Learning apparatus and method Learning apparatus and method

2007-04-17

2009-12-01

Vincent, David R (Department: 2129)

Data processing: artificial intelligence

Machine learning

Genetic algorithm and genetic programming system

Reexamination Certificate

active

07627539

ABSTRACT:
A learning apparatus for building a network structure of a Bayesian network based on learning data. In the Bayesian network, a cause and effect relationship between plural nodes is represented by a directed graph. The learning apparatus includes storage means in which the learning data is stored; and learning means for building the network structure based on the learning data. The learning means prepares an initial population of individuals constituted by individuals each having a genotype in which orders between the nodes and cause and effect relationship have been stipulated, repeatedly performs processing for crossovers and/or mutations on the initial population of individuals based on a genetic algorithm, calculates an evaluated value of each of the individuals based on the learning data, searches for an optimum one of the individuals, and takes a phenotype of the optimum individual as the network structure.

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Melanie Mitchell, An Introduction to Genetic Algorithms, 1996, MIT Press, Chap. 1-6.
Hiroaki Kitano, Designing Neural Networks using Genetic Algorithms with Graph Generation, Complex Systems Journal, vol. 4 (1990), pp. 461-476.

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