|
|
|
| A NEW METHOD FOR EIGENSTRUCTURE EXTRACTION AND ITS NEURAL NETWORK IMPLEMENTATION |
| Yu Shuijun; Liang Diannong |
| National University of Defense Technology, Changsha 410073 |
|
|
|
|
Abstract The cost function for eigenstuctures extration is discussed in detail, one can obtain the largest eigenvector by minimizing the cost function. In order to obtain the other eigenvectors, a covariance matrix series is constructed. If one compares the cost function with the energy function of a neural network, the neural network can be introduced to extract the eigenvectors. Theoretical analysis and simulations show that the proposed method is reasonable and feasible.
|
|
Received: 14 April 1994
|
|
|
|
|
|
|
|
|
1996, Vol. 18 
