Occurrence of congestion of packet flow in computer networks is one of the unfavorable problems in packet communication and hence its avoidance should be investigated. We use a neural network model for packet routing control in a computer network proposed in a previous paper by Horiguchi and...

We investigate an XY model on a four-layer triangular lattice with two ferromagnetic layers sandwiched by two antiferromagnetic layers by using Monte Carlo simulations. The chirality on the middle layers with ferromagnetic intralayer interactions shows very steep increase as temperature...

The lattice Green's function at an arbitrary lattice site on an anisotropic triangular lattice is expressed in terms of three lattice Green's functions - which are the one at the origin, the one at a nearest-neighbor lattice site to the origin and the one at a third-neighbor lattice site to the...

We obtain a phase diagram of an anisotropic antiferromagnetic XY-model of classical Heisenberg spins on a triangular lattice by calculating the average values of x-component and y-component of spins, the chirality, angles between averaged spins on sublattices and the specific heat by means of...

We propose a dynamic programming for optimal packet routing control using two neural networks within the framework of statistical physics. An energy function for each neural network is defined in order to express competition between a queue length and the shortest path of a packet to its...

We propose a neural network model of working memory with one-compartmental neurons and investigate its dynamical properties. We assume that the model consists of excitatory neurons and inhibitory neurons; all the neurons are connected to each other. The excitatory neurons are distinguished as...

When we consider a problem in information processing, it is convenient to formulate the problem by using a random Ising model in statistical physics. However, a kind of computational difficulty arises in a case that the number of nodes becomes large. Hence approximation schemes such as a mean...

We investigate a packet flow problem in a computer network within a framework of statistical physics. We propose a model for packet routing control by putting a neural network at each node. The energy function for the whole system is defined in order to express competition among queue length,...

We investigate an optimal network structure for packet flow on large-scale networks. For this aim, we introduce a cost function which represents efficiency of the packet flow. Our strategy for obtaining an optimal network is to reconnect links in the network so as to minimize the defined cost...

We investigate a traffic-flow problem in a network of city roads. The network of city roads is assumed to be a square lattice with a decorated site on each bond; a car may locate at a usual lattice site or at a decorated site. We extend a traffic-flow model proposed by Cuesta et al. (Phys. Rev. E...