| 基函数神经网络权值直接确定的图像复原 |
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| 引用本文： | 田启川,田茂新,杨晓飞.基函数神经网络权值直接确定的图像复原[J].计算机工程与应用,2013,49(8):178-181. |
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| 作者姓名： | 田启川 田茂新 杨晓飞 |
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| 作者单位： | 太原科技大学 电子信息工程学院，太原 030024 |
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| 摘 要： | 给出了基函数神经网络图像复原的模型，该神经网络模型是由三层构成的前向神经网络，以一组正交基为隐层神经元的激励函数。为了避免反复迭代权值修正的冗长BP训练过程，提出了一种权值直接确定的算法。实验结果表明，该种权值直接确定算法不仅能一步确定权值而获得更快的运算速度，而且能达到更高的精度。
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| 关 键 词： | 图像复原 基函数神经网络 正交基 权值修正 权值直接确定 |
Weights-direct-determination for image restoration of basis function neural network |
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| TIAN Qichuan,TIAN Maoxin,YANG Xiaofei.Weights-direct-determination for image restoration of basis function neural network[J].Computer Engineering and Applications,2013,49(8):178-181. |
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| Authors: | TIAN Qichuan TIAN Maoxin YANG Xiaofei |
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| Affiliation: | College of Electronic and Information Engineering, Taiyuan University of Science and Technology, Taiyuan 030024, China |
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| Abstract: | A general model for image restoration of basis function neural network is presented, a feed-forward neural network adopts a three-layer structure, where the hidden-layer neurons are activated by a group of orthogonal basis functions. To avoid lengthy BP-training of the iterative weights-updating, weights-direct-determination algorithm is proposed. Experimental results show that the algorithm not only can determine the weight by one step, but also gains higher accuracy. |
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| Keywords: | image restoration basis function neural network orthogonal basis functions weights-updating weights-direct-determination |
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