Data processing: artificial intelligence – Neural network – Learning task
Reexamination Certificate
2007-08-02
2010-11-09
Vincent, David R (Department: 2129)
Data processing: artificial intelligence
Neural network
Learning task
Reexamination Certificate
active
07831530
ABSTRACT:
A method of the present invention is processed by a selector. The selector selects each member constituting a learning data set from a data set source. Each member of the source is feature data extracted through a transducer and assigned to any one of categories in advance. The selector calculates each member's divergence degree of the source to obtain an average divergence degree. If an output neuron of the output layer of a neural network is related to different categories of all the categories represented by the output layer, the selector includes every member of the source corresponding to the category of the minimum average divergence degree in the selection from the source to the learning data set. The selector also excludes, from the selection, every member of the source corresponding to every remaining category of the different categories.
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Edwards Angell Palmer & Dodge
Panasonic Electric Works Co., Ltd.
Vincent David R
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