PCNN Forecasting Model Based on Wavelet Transform and Its Application

机译：基于小波变换的PCNN预测模型及其应用

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Pulse Coupled Neural Network (PCNN) is widely used in image processing for its basic characteristics of coupling mechanism and achieved some results. PCNN model has been improved as follows: Firstly,correlation coefficient is used to control the bonding strength. Secondly, the threshold setting is adjusted by the least error. Thirdly, A Trous transform is combined with PCNN model to form the combination forecasting model. The improved combination model was implemented in annual rainfall forecasting to check its feasibility.

机译：脉冲耦合神经网络（PCNN）由于其耦合机制的基本特性而在图像处理中得到了广泛的应用，并取得了一些成果。 PCNN模型的改进如下：首先，使用相关系数来控制粘结强度。其次，通过最小误差来调整阈值设置。第三，将Trous变换与PCNN模型相结合，形成组合预测模型。改进的组合模型在年度降雨预报中得到实施，以检验其可行性。

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来源
《2007 international conference on intelligent systems and knowledge engineering (ISKE 2007)》|2007年|1169-1175|
会议地点 Chengdu(CN);Chengdu(CN)
作者
G NOCCA; rnP DE SOLE; rnF DE PALMA; rnGE MARTORANA; rnC ROSSI; rnP CORSALE; rnM ANTENUCCI; rnB GIARDINA; rnA LUPI;
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作者单位

Biochemistry and Clinical Biochemistry Institute,School of Medicine,Catholic University,Rome,Itaty;

rnBiochemistry and Clinical Biochemistry Institute,School of Medicine,Catholic University,Rome,Itaty;

rnBiochemistry and Clinical Biochemistry Institute,School of Medicine,Catholic University,Rome,Itaty;

rnBiochemistry and Clinical Biochemistry Institute,School of Medicine,Catholic University,Rome,Itaty;

rnBiochemistry and Clinical Biochemistry Institute,School of Medicine,Catholic University,Rome,Itaty;

rnBiochemistry and Clinical Biochemistry Institute,School of Medicine,Catholic University,Rome,Itaty;

rnBiochemistry and Clinical Biochemistry Institute,School of Medicine,Catholic University,Rome,Itaty;

rnBiochemistry and Clinical Biochemistry Institute,School of Medicine,Catholic University,Rome,;

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中图分类人工智能理论;
关键词
Pulse coupled neural network, A Trous wavelet transform, Forecasting, Correlation analysis;

机译：脉冲耦合神经网络，Trous小波变换，预测，相关分析;

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机译：基于小波变换及其应用的PCNN预测模型及其应用

PCNN Forecasting Model Based on Wavelet Transform and Its Application

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