| 一种用于模式分类的多层感知机模型和学习算法 |
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| 引用本文： | 姜文彬. 一种用于模式分类的多层感知机模型和学习算法[J]. 淮北煤炭师范学院学报(自然科学版), 1997, 0(2) |
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| 作者姓名： | 姜文彬 |
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| 摘 要： | 将Kalman滤波算法与BP算法相结合，提出一种用于模式分类的多层感知机模型和学习算法，并对计算实例进行了计算机模拟实验．实验结果表明，这种算法适用于非线性模式分类，且具有较快的收敛速度.
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| 关 键 词： | 多层感知机 BP算法 Kalman滤波 |
A Model and Learning Algorithm for Multilayer Perceptrons Used for Pattern Classfication |
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| Jiang Wenbin. A Model and Learning Algorithm for Multilayer Perceptrons Used for Pattern Classfication[J]. Journal of Huaibei Coal Industry Teachers College(Natural Science edition), 1997, 0(2) |
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| Authors: | Jiang Wenbin |
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| Affiliation: | Department of Physics |
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| Abstract: | By couple Kalman filtering algorithm with BP learning algorithm, a mode and learning algorithm for multilayer perceptrons used for pattern classfication are proposed and made computer simulation experiments with conputation examples. The results of the experiments show that the algorithm is suitable for nonlinear pattern classfication and has faster convergence speed. |
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| Keywords: | multilayer perceptrons BP learning algorithm Kalman filtering |
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