| A NEW METHOD FOR EIGENSTRUCTURES EXTRACTION AND ITS NEURAL NETWORKS IMPLEMENTATION |
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| 作者姓名： | Yu Shuijun Liang Diannong |
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| 作者单位： | National University of Defense Technology，Changsha 410073 |
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| 摘 要： | The cost function for eigenstructures extraction is discussed in detail in this paper, one can obtain the largest eigenvector by minimizing the cost function. In order to obtain other eigenvectors, a covariance matrix series is constructed. If one compares the cost function with the energy function of a neural networks, the neural networks can be easily introduced to extract the eigenvectors. Theoretical analysis and computer simulations show that the proposed method is reasonable and feasible.
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A new method for eigenstructures extraction and its neural networks implementation |
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| Yu Shuijun Liang Diannong.A NEW METHOD FOR EIGENSTRUCTURES EXTRACTION AND ITS NEURAL NETWORKS IMPLEMENTATION[J].Journal of Electronics,1996,13(3):211-215. |
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| Authors: | Yu Shuijun Liang Diannong |
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| Affiliation: | (1) National University of Defense Technology, 410073 Changsha |
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| Abstract: | The cost function for eigenstructures extraction is discussed in detail in this paper, one can obtain the largest eigenvector by minimizing the cost function. In order to obtain other eigenvectors, a covariance matrix series is constructed. If one compares the cost function with the energy function of a neural networks, the neural networks can be easily introduced to extract the eigenvectors. Theoretical analysis and computer simulations show that the proposed method is reasonable and feasible. |
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| Keywords: | Eigenstructure Cost function Neural networks |
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