Satoru Kishida

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We constructed neural network systems using one-dimensional numeric sequences from X-ray images of chest for detection of abnormal areas in the images and investigated the effect of number of input layer units on performance of the systems. In order to construct the neural networks with different number of input layer units, we changed the number of data in(More)
We constructed systems with neural networks using one-dimensional numeric sequences from chest X-ray images for detection of abnormal areas and investigated the effect of pre-processing for input patterns on performance of the systems. We changed the number of data in one-dimensional numeric sequences, and applied differential filters to the sequences.(More)
We constructed an individual identification system with three-layered neural networks. Voice signals were preprocessed by Fast Fourier Transform (FFT) and, were used as input data of the neural networks with a back-propagation learning algorithm. Furthermore, we investigated the performance of the individual identification system in the neural networks.(More)
We constructed multi-step authentication systems of layered neural networks for fingerprint, where we can deal with a number of patterns and can control authentication rates by the number of step in the system. We clarified the effect of neural network size on performance of the authentication systems for fingerprints. From the results, we found that the(More)
We constructed measurement systems for fatigue using the F-values and the ΔF-values, and investigated their performance. The system consisted of four units, which are generation of fatigue, data-collection, data-processing and estimation. In addition, we classified the fatigue into 3 types, which are physical, mental and mix fatigues. From the(More)