Routing is one of the basic parts of a message passing multiprocessor system. The routing procedure has a great impact on the efficiency of a system. Neural algorithms that are currently in use for computer networks require a large number of neurons. If a specific topology of a multiprocessor network is considered, the number of neurons can be reduced. In this paper a new recurrent neural ne...

The paper deals with Data Envelopment Analysis (DEA) and Artificial Neural Network (ANN). We believe that solving for the DEA efficiency measure, simultaneously with neural network model, provides a promising rich approach to optimal solution. In this paper, a new neural network model is used to estimate the inefficiency of DMUs in large datasets.

the main purpose of this paper is prediction of tse corporate financial bankruptcy using artificial neural networks. the mean values of key ratios reported in past bankruptcy studies were selected for neural network inputs (working capital to total assets, net income to total assets, total debt to total assets, current assets to current liabilities, quick assets to current liabilities). the neu...

This paper deals with nonlinear least-squares problems involving the tting to data of parameterized analytic functions. For generic regression data, a general result establishes the countability, and under stronger assumptions niteness, of the set of functions giving rise to critical points of the quadratic loss function. In the special case of what are usually called \single-hidden layer neura...

Computational intelligence techniques were applied to human brain cancer magnetic resonance spectral data. In particular, two approaches, Rough Sets and a Genetic Programming-based Neural Network were investigated and then confirmed via a systematic Individual Dichotomization algorithm. Good preliminary results were obtained with 100% training and 100% testing accuracy that differentiate normal...

Scope: Topics of interest include, but are not limited to: Neural Networks and Connectionist Models Evolutionary Algorithms Fuzzy Logic Knowledge Management Multi-valued Logic Semantic Networks Rough Sets Intelligent Agents Ontologies Reinforcement Learning Complex Network Computational Intelligence Data integration across multiple social networks Honorary Chairs Yongyi, Guo, Taiyuan University...

this paper intends to offer a new iterative method based on articial neural networks for finding solution of a fuzzy equations system. our proposed fuzzied neural network is a ve-layer feedback neural network that corresponding connection weights to output layer are fuzzy numbers. this architecture of articial neural networks, can get a real input vector and calculates its corresponding fu...

Construction quality associated with the life of construction enterprises. Risk assessment of construction quality referred to a comprehensive evaluation of the degree of risk confronting construction units during the construction process. Construction units provide a decision-making basis for employers and supervisors, who considered the evaluations of construction quality and accidents in the...