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This paper presents a method for neural network ensemble. In the method, five subsystems of classifier used four kinds of neural networks, such as SOM,PNN,LVQ,RBF. Those neural networks compute parallel which have been trained solely The recognition result of subsystems, the expectation and variance between input pattern and goal pattern have been integrated by analytical hierarchy process. In experiments,...
This paper establishes the model of remote fault detect system, using typical fault data of a type of planepsilas undercarriage braking system to implement the diagnosis. The result shows that he Ensemble Method of Remote Fault Diagnosis based on PCA and ICA and Multi-layer SOM, integrates the advantage of PCA in low noise and ICA in high noise. Multilayer SOM can classify the input data rapidly with...
With the extensive studies of the task scheduling problem, many new methods, especial genetic algorithms, have been introduced into this field. In this paper, we develop a novel genetic algorithm, namely the knowledge-based genetic scheduling (KGS) algorithm with task duplication. KGS is different from the previously proposed genetic algorithms in a number of ways. Unlike the others genetic algorithms,...
Task scheduling is one of the crucial issues to achieve high performance for parallel multiprocessor systems. With the extensive studies of the task scheduling problem, many new methods, especial genetic algorithms, have been introduced into this field. In this paper, we develop a novel genetic algorithm, namely the self-adaptive genetic algorithm (SAGA). SAGA is different from the previously proposed...
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