| 摘要 |
<p>Aiming at providing a feature extraction device capable of extracting features of recognition targets without prior learning, a feature extraction device (100) according to the present invention includes a neural network including neurons (301, 302, 303, 311, 312, and 313) each including at least one expressed gene which is an attribute value for determining whether transmission of a signal from one of the first neurons (301, 302, and 303) to one of the second neurons (311, 312, and 313) is possible, each first neuron having input data resulting from target data to be subjected to feature extraction outputs a first signal value to corresponding second neuron(s) having the same expressed gene as the one in the first neuron, the first signal value increasing as a value of the input data increases, and each second neuron calculates, as a feature quantity of the target data, a second signal value corresponding to a total sum of the first signal values input thereto.</p> |
