多値論理ネットワークの回路構成及び学習アルゴリズム

取得学位：博士(工学)，学位授与番号：博乙第289号，学位授与年月日：平成17年9月30日,学位授与年：200

The Brainwave Response of Optical Illusion Stimulus

Several centuries ago the overarching obstacle in the evolution of vision was documented when George Berkeley pointed out that information in retinal images cannot be mapped unambiguously back onto their real-world sources. In this experiment, we used the EEG to analyze the brainwave dates of 2 stimuli, one can cause human optical illusion, but the other cannot. The purpose of this work was to find out the locations and mechanisms of brainwave when the human beings watch the 2D images under the optical illusion stimulus. The results showed that the responds of the optical illusion have different response time and voltage with the different coarseness at the visual area. Recognition potential (RP.) occurs in about 250ms

A Chaotic Clonal Selection Algorithm and Its Application to Synthesize Multiple-Valued Logic Function

In this paper, a chaotic clonal selection algorithm (CCSA) is proposed to synthesize multiple-valued logic (MVL) functions. The MVL function is realized in a multiple-valued sum-of-products expression where product is indicated by MIN and sum by TSUM. The proposed CCSA, in which chaos is incorporated into the clonal selection algorithm to initialize antibodies and maintain the population diversity, is utilized to learn a given target MVL truth table. Furthermore, an adaptive length strategy of antibodies is also introduced to reduce the computational complexity, whereas an improved affinity function enables the algorithm to find less product terms for an MVL function. Simulation results based on a large number of MVL functions demonstrate the efficiency of the proposed method when compared with other traditional methodologies. © 2010 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc

Using the N1 Potential for the Analysis of the 2D Optical Illusion Stimulus

Recently, the brain science has become one of most attractive and important fields in modern science and technology. Several centuries ago the overarching obstacle in the evolution of vision, especially the visual illusion was documented when George Berkeley pointed out that information in retinal images cannot be mapped unambiguously back onto their real-world sources. In this paper, we construct an experiment that uses the abutting line grating illusion contour stimulus with different number of lines, so that some perceive illusion contours and some do not. Event-related potentials (ERP) involving N1 and power spectra are measured and compared to examine the difference of them when visual illusion stimuli and control stimuli are applied

A stochastic dynamic local search method for learning Multiple-Valued Logic networks

金沢大学理工研究域電子情報学系In this paper, we propose a stochastic dynamic local search (SDLS) method for Multiple-Valued Logic (MVL) learning by introducing stochastic dynamics into the traditional local search method. The proposed learning network maintains some trends of quick descent to either global minimum or a local minimum, and at the same time has some chance of escaping from local minima by permitting temporary error increases during learning. Thus the network may eventually reach the global minimum state or its best approximation with very high probability. Simulation results show that the proposed algorithm has the superior abilities to find the global minimum for the MVL network learning within reasonable number of iterations. Copyright © 2007 The Institute of Electronics, Information and Communication Engineers