%0 Journal Article
%T Study on the appraisal analysis and forecasting model of diesel engine performance based on modular neural network<br>基于组合式神经网络的柴油机性能评估预测模型
%A LI Zeng-fang
%A TAO Xue-mei
%A HE Yong
%A <br>李增芳
%A 陶雪梅
%A 何勇
%J 浙江大学学报(农业与生命科学版)
%D 2005
%I Zhejiang University Press
%X By analyzing the relationship between technical states and performance parameters of diesel engine, an appraisal model based on modular neural networks is proposed. Firstly, the original samples are divided into several groups by applying the dynamic clustering method. Then each group is used to train a separate seed neural networks. During the appraisal phase, pattern recognition is employed to activate the corresponding seed neural networks for appraisal analysis. Experiment indicates that the model can solve the problem of low learning speed and difficult convergence and improve the accuracy of prediction.
%K diesel engine
%K modular neural network
%K fuzzy cluster
%K appraisal and forecasting<br>柴油机
%K 神经网络
%K 动态聚类法
%K 评估预测
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=03F54A49DE00578AA0E5DDF5BC021AA7&cid=298920A27C9BAA22346FCA384240FAA4&jid=466C05D88593309B3EB5CF34361E6426&aid=31FF11B0DA6BC8D2&yid=2DD7160C83D0ACED&vid=4AD960B5AD2D111A&iid=0B39A22176CE99FB&sid=F8035C8B7D8A4264&eid=FA89360EB995A8AD&journal_id=1008-9209&journal_name=浙江大学学报(农业与生命科学版)&referenced_num=0&reference_num=6