Titlebook: Cellular Automata and Cooperative Systems; Nino Boccara,Eric Goles,Pierre Picco Book 1993 Springer Science+Business Media Dordrecht 1993 R

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书目名称Cellular Automata and Cooperative Systems影响因子(影响力)




书目名称Cellular Automata and Cooperative Systems影响因子(影响力)学科排名




书目名称Cellular Automata and Cooperative Systems网络公开度




书目名称Cellular Automata and Cooperative Systems网络公开度学科排名




书目名称Cellular Automata and Cooperative Systems被引频次




书目名称Cellular Automata and Cooperative Systems被引频次学科排名




书目名称Cellular Automata and Cooperative Systems年度引用




书目名称Cellular Automata and Cooperative Systems年度引用学科排名




书目名称Cellular Automata and Cooperative Systems读者反馈




书目名称Cellular Automata and Cooperative Systems读者反馈学科排名

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laceration

Automata Network Epidemic Models,ly, models infection and removal or recovery. The second, applied sequentially, describes the motion of the individuals. The reported results concern essentially SIS and SIR models. The emphasis is on the influence of motion. Two types of motion, called, respectively, short- and long-range moves, ar

针叶树

Structure Evolution of Neural Networks,ndom graphs. The evolution of structural properties of suitably defined spaces of random graphs with parameters characterizing the edge density and their impact on the performance of the representative edge weighted graphs as feed-forward neural networks will be studied. The occurrence of phase tran

Interregnum

Lower Bounds on the Memory Capacity of the Dilute Hopfield Model,ent a rigorous analysis of the energy landscape for the Hopfield Hamiltonian on such a network. It is found that if the probability, ., that two given neurons are connected is at least as big as . this model can store at least . = ... random patterns, where .. ≈ 0.027. Our proofs involve some novel

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智力高

Gourmet

A Matrix Method of Solving an Asymmetric Exclusion Model with Open Boundaries,ccupations and correlation functions have previously been derived in the one dimensional fully asymmetric case with open boundaries. Here we present a more direct route to these expressions that allows generalisation to other cases. This new approach is based on representing the weights of each conf

Scintillations

Fluctuations in the Asymmetric Simple Exclusion Process,rate . + . = 1. At mosts one particle is allowed in each site. We consider the process in equilibrium with invariant measure .., the product measure with density .. The first result is the computation of the the diffusion coefficient of the current of particles through a fixed point. We find D = |.|

屈尊

Analysis of a Network Model, the inhibitory interaction between the cells is considered. We analyze the stability properties of networks whose graph is complete N-partite. It is shown that if the parameters of the model are below some critical values, then the network converges to unique equilibrium. In this case, the invarian