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Combinations of Neural Networks and its Application

Yang Huamin (Institute of Information Technology.Optics and Fine Mech.)  
In this paper, we discuss the idea of linear combinations of neural networks. Experimental results based on simulated data are included. For our examples, the approxinmation accuracy and recognition effect resulting from using combining neural networks is better then single neural network.
【Fund】: 国家兵器 “九五” 预研基金
【CateGory Index】: TP18
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