Titlebook: Bio-Inspired Computing and Applications; 7th International Co De-Shuang Huang,Yong Gan,Kyungsook Han Conference proceedings 2012 Springer-V

公共汽車

A New Mining Algorithm of Association Rules and Applicationst strategy can greatly improves the whole performance of the algorithm. The application of improved Apriori algorithm in traffic accident data mining also shows that it is very practical and efficient in data mining.

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細微差別

978-3-642-24552-7Springer-Verlag GmbH Berlin Heidelberg 2012

PANT

De-Shuang Huang,Yong Gan,Kyungsook HanUp-to-date results.Fast track conference proceedings.State-of-the-art report

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業(yè)余愛好者

Improved Stability Criteria for Discrete-Time Stochastic Neural Networks with Randomly Time-Varying This paper investigates the problem of exponential stability for a class of discrete-time stochastic neural network with randomly time-varying delays. Compared with some previous results, the new conditions obtained in this paper are less conservative. Finally, a numerical example is exploited to show the usefulness of the results derived.

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Oscillatory Behavior for a Class of Recurrent Neural Networks with Time-Varying Input and DelaysIn this paper, the existence of oscillations for a recurrent neural network with time delays between neural interconnections is investigated. Several simple and practical criteria to determine the oscillatory behavior are obtained.

繼而發(fā)生

Application of Neural Network on Solid Boronizing the solid boronizing and the prediction of boronizing performance, a neural network approach is adopted. This approach overcomes a lot of problems in the traditional approaches and provides a stable and effective approach.