| 摘要 |
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 a storage portion in which the learning data is stored and a learning portion for building the network structure based on the learning data. The learning portion prepares an initial population of individuals formed 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 individual 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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