초록 ▼

In a pattern learning method, each of pieces of information representing a plurality of different fundamental patterns is presented to a large number of cells of a neural network, and the cells are thereby caused to learn a large number of feature patterns. The method comprises the steps of causing

In a pattern learning method, each of pieces of information representing a plurality of different fundamental patterns is presented to a large number of cells of a neural network, and the cells are thereby caused to learn a large number of feature patterns. The method comprises the steps of causing a cell, which best matches with a fundamental pattern having been presented to the neural network, to learn the fundamental pattern. For neighboring cells that fall within a neighboring region having a predetermined range and neighboring with the cell, which best matches with the fundamental pattern having been presented to the neural network, spatial interpolating operations are carried out from the fundamental pattern, which has been presented to the neural network, and a fundamental pattern, which is other than the fundamental pattern having been presented to the neural network and which has been learned by a cell that is among the large number of the cells of the neural network and that is other than the cell best matching with the fundamental pattern having been presented to the neural network. The neighboring cells are caused to learn the results of the spatial interpolating operations.

대표청구항 ▼

A pattern learning method comprising the steps of: presenting information signals representing a plurality of different find mental patterns of varying image density representative of physical objects to a large number of cells of a neural network; assigning a spatial position for each of the cells;

A pattern learning method comprising the steps of: presenting information signals representing a plurality of different find mental patterns of varying image density representative of physical objects to a large number of cells of a neural network; assigning a spatial position for each of the cells; causing a chosen cell, which best matches with a first fundamental pattern having been presented to the neural network, to learn said first fundamental pattern; for neighboring cells having a distance within a predetermined range from the chosen cell, carrying out orientation-based spatial interpolating operations, using respective ones of said spatial positions, between the first fundamental pattern and a second fundamental pattern which has been learned by a second cell, the second fundamental pattern not being the first fundamental pattern and the second cell not being the chosen cell; and causing said neighboring cells to learn the results of said spatial interpolating operations, thereby causing the cells to learn a large number of feature patterns.