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Until very recently, microprocessor designs were computation-centric. On-chip communication was frequently ignored. This was… Expand Today, complex networks have attracted increasing attention from various fields of science and engineering. It has been… Expand Abstract Autoregressive integrated moving average (ARIMA) is one of the popular linear models in time series forecasting during… Expand This paper investigates the credit scoring accuracy of "ve neural network models: multilayer perceptron, mixture-of-experts… Expand We study the small-world network model, which mimics the transition between regular-lattice and random-lattice behavior in social… Expand Abstract We propose a neural network model with transient chaos, or a transiently chaotic neural network (TCNN) as an… Expand The study analyzes the social structure of competition. It addresses the consequences of voids in relational and resource… Expand A neural network model is developed for prediction of bankruptcy, and it is tested using financial data from various companies… Expand A recognition with a large-scale network is simulated on a PDP-11/34 minicomputer and is shown to have a great capability for… Expand A neural network model, called a “neocognitron”, is proposed for a mechanism of visual pattern recognition. It is demonstrated by… Expand