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Improved Learning Effect Synthetic Evaluation Method Based on Backpropagation Neural Network
引用本文:CAI Zhang-li,CHEN Xiao-lin,SHI Wei-ren. Improved Learning Effect Synthetic Evaluation Method Based on Backpropagation Neural Network[J]. 保鲜与加工, 2007, 0(7): 96-99
作者姓名:CAI Zhang-li  CHEN Xiao-lin  SHI Wei-ren
作者单位:1. College of Automation, Chongqing University, Chongqing 400030, China;2. College of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650093, China
摘    要:Aim at the practicability issue,study effect-evaluating model based on B-P NN was improved on evaluation standards,evaluation model and training swatch.Evaluation standard effectivity was added to set the conversion function of network crytic-layer nodes as'tansig' and that of output-layer nodes as'logsig'.The taining swatch was improved.The simulation results validated the evaluation veracity of the model.

关 键 词:neural network    study effectivity    evaluation model
修稿时间:2007-02-10

Improved Learning Effect Synthetic Evaluation Method Based on Backpropagation Neural Network
CAI Zhang-li,CHEN Xiao-lin,SHI Wei-ren. Improved Learning Effect Synthetic Evaluation Method Based on Backpropagation Neural Network[J]. Storage & Process, 2007, 0(7): 96-99
Authors:CAI Zhang-li  CHEN Xiao-lin  SHI Wei-ren
Affiliation:1. College of Automation, Chongqing University, Chongqing 400030, China;2. College of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650093, China
Abstract:Aim at the practicability issue,study effect-evaluating model based on B-P NN was improved on evaluation standards,evaluation model and training swatch.Evaluation standard effectivity was added to set the conversion function of network crytic-layer nodes as'tansig' and that of output-layer nodes as'logsig'.The taining swatch was improved.The simulation results validated the evaluation veracity of the model.
Keywords:neural network    study effectivity    evaluation model
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