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RBF神经网络改进模型在医学生UPI中的仿真研究
引用本文:吴泽志,魏臻,潘莉莉.RBF神经网络改进模型在医学生UPI中的仿真研究[J].安徽广播电视大学学报,2012(3):121-125.
作者姓名:吴泽志  魏臻  潘莉莉
作者单位:1. 安徽医科大学计算机系,合肥,230032
2. 合肥工业大学计算机与信息学院,合月巴,230009
3. 安徽医科大学学生处,合肥,230032
摘    要:采用概率竞争和RBF(Radial-based Function Method)相结合的神经网络模型,研究UPI(UniversityPersonality Inventory大学生心理健康清单)多变量非线性诊断指标和分类标准的内在联系。提出了一种UPI辅助诊断的概率竞争型RBF神经网络的解决方案,把UPI数据作为概率竞争和RBF神经网络改进模型的输入,构建2层改进的RBF神经网络仿真模型。实验结果显示,综合运用概率竞争和RBF神经网络的方法能使UPI分类达到较好的效果。构建的概率竞争神经网络模型用于UPI的辅助诊断是可行的。

关 键 词:概率竞争  RBF神经网络  UPI  仿真诊断

Simulating Study of RBF Neural Network Improved Model in UPI of the Medical Students
WU Ze-zhi,WEI Zhen,PAN Li-li.Simulating Study of RBF Neural Network Improved Model in UPI of the Medical Students[J].Journal of Anhui Television University,2012(3):121-125.
Authors:WU Ze-zhi  WEI Zhen  PAN Li-li
Institution:1.Department of Computer,Anhui Medical University,Hefei 230032,China; 2.School of Computer and Information,Hefei University of Technology,Hefei 230009,China; 3.Students’ Affairs Office,Anhui Medical University,Hefei 230032,China)
Abstract:With the neural network model combining probability competition and RBF(Radial-based Function Method),the research aims at studying the internal relation between the multi-variable non-linear diagnostic index and classification standard of UPI(University Personality Inventory).A UPI aided diagnostic probability competition RBF neural network has been put forward.With the UPI as the input of probability competition and RBF neural network improved model,the two-layer modified RBF neural network simulation model has been constructed.The experimental result shows that with the combination of probability competition and RBF neural network model,a better classification of UPI can be achieved.It is feasible to construct probability competition neural network model to be used as the UPI aided diagnosis.
Keywords:probability competition  RBF neural network  UPI  simulation diagnosis
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