A node splitting network that classiies binary patterns by Hamming distance has been presented in 5]. There it has been shown that the node splitting training algorithm can produce a network with much fewer connections than Lippmann's Hamming net 9]. Now this network (NOSDIC) has been further developed to process integer values. For a pattern recognition problem in mobile radio communications t...

A Boolean circuit is a directed acyclic graph with some designated input gates of fan-in zero and one designated output gate of fan-out zero in which all non-input nodes are labeled with or, and, or not. All or and and gates have fan-in two, and all not gates fan-in one. We assume that the gates of a Boolean circuit are arranged in layers; each layer consists of gates whose inputs come only fro...

tr t . We describe an exploratory approach to the parametric modeling of dynamical (time-varying) neurophy^siological data' The modeb use stimulus data from a window of time to predict thre neuronal firing rate at the end ofthatwindow. The mostsuccessful models were IEedforwardthree-layered networks of input, hidden, and output "nodes" connected by weights that were adjusted during a training p...

estimation of pure runoff is a house virtually is complex and different methods of calculation have been proposed. modern methods of solving problems in river engineering and water homes and assess the flow method is used, is that the artificial network pattern of human brain neural network training process, while implementation of the internal relationships between the data and discover for ot...

a mathematical modelling for more-winding single-phase transformer is presented. the incidence matrix-which gives the informations about the connection of the ends of the windings between the nodes-is multiplied leftside and rightside with the inverse of the inductance matrix of the more winding transformer. the result is a matrix which gives the relationship between nodes potentials and nodes ...

This paper describes a neural implementation of the resistive grid technique for route finding. The resistive grid, or Laplacian planning technique, is not plagued by local minima problems and guaranties and existing route to be found. The neural network comprises 2 layers. In the upper layer, lateral connections between neurons communicate information on the potentials of neighbouring nodes in...

In this study, a three–layer artificial neural network (ANN) model was developed to predict the pressure gradient in horizontal liquid–liquid separated flow. A total of 455 data points were collected from 13 data sources to develop the ANN model. Superficial velocities, viscosity ratio and density ratio of oil to water, and roughness and inner diameter of pipe were used as input parameters of ...

Artificial neural networks (ANNs) as a powerful approach have been widely utilized to demonstrate some of the engineering problems. A three-layer ANN including three neurons in the hidden layer is considered to produce a verified pattern for assessing the compressive strength of concrete incorporating metakaolin (MK). For this purpose, an extensive database including 469 experimental specimens ...

Several factors can influence the process of biogas production. The type of reactor is one of the key factors that influence biogas production. Therefore, the aim of this study was to construct a portable horizontal polyethylene-based biogas reactor. In addition, the performance of the developed biogas reactor was tested through digestion of cow manure. The experiments were carried out in Mashh...