Masatake Sakuma

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Mapping properties of multi-layer, feedforward artificial neural networks are analyzed using modified backpropagation training with forgetting (decay) of the connection weights. Neural nets trained by forgetting algorithm are. not sensitive to the initial choice of the network, and the trained network structure can be used for knowledge acquisition(More)
Many practical applications of system diagnosis require the credible identi cation of multiple faults of nonlinear components and sensors in quantitative measures. However, the state of the art of diagnosis technique is considered to be still insu cient to meet these severe requirements. The approach of diagnosis using the traditional linear system identi(More)
The present paper proposes a new concept of image processing method based on vector representation for visual inspection test. The method was applied to detect defects and extract their profiles from digital 2D image of welded rough surface of the structures aiming at the development of automated visual inspection system. The potential availability of the(More)
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