Artificial Neural Network Model with Adaptive GMDH Technique for Non-Linear Regression Prediction

Abdul Joseph Fofanah, S. Koroma, A. B. Sesay, Ahmed Fofana
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Abstract

A theoretical concept of the GMDH technique using a non-linear regression model, multilayered neural nets, model assessment, and selection to determine the prediction error versus selection model complexity was reviewed and evaluated. The model selection was experimented and evaluated with MATLAB.
基于自适应GMDH技术的非线性回归预测人工神经网络模型
回顾和评价了GMDH技术的理论概念,该技术使用非线性回归模型、多层神经网络、模型评估和选择来确定预测误差与选择模型复杂性的关系。用MATLAB对模型选择进行了实验和评价。
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