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Titlebook: Complexity and Diversity; Eiichi Ryoku Nakamura,Kiyoshi Kudo,Yoichi Tamagawa Conference proceedings 1997 Springer-Verlag Tokyo 1997 applie

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Pattern Recalling Property of Neural Network Modules Integrated by Chaoswork modules can be integrated without controller. In our two-body neural network model, the chaotic behavior plays the role of a mechanism that integrates network modules. Integration of modules was realized by timeshared pattern recalling. This result provides another viewpoint of chaos in neural network model.
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A complexity measure of the Internetences, such as periodic, random, mixed, cellular automata generated and logistic map generated sequences, to compare with that of data traffic on the Internet. As a result, we find, the measure of data traffic is larger than those produced by other artificial sequences.
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On the generation and dissipation of coherent structure in two-dimensional vorticeson in this paper is to discuss the restricted subject of two-dimensional vortex motion. I deal with the dynamics of a system of point vortices in two-dimensional flow field and discuss a few points about generation and dissipation of coherent structure in these system.
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Hamiltonian dynamics and statistics of relaxationsded by Hamiltonian equations of motion, which are numerically integrated. Anomalously slow relaxation appears near the critical point for a statistical quantity. The statistic is produced by taking average over initial conditions.
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