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[Extended Kalman filtering trained neural networks and multicomponent analysis of amino acids]
Z Li1, S Matsumoto, B Yu
1Hunan University, Changsha, 410082 Changsha.
Guang Pu Xue Yu Guang Pu Fen Xi = Guang Pu
|June 1, 1997
Abstract:
The principle of neural networks was briefly described. Backpropagation (BP) is a widely used algorithm to train NN with slow convergence and local optima. In order to overcome the above weakness of BP, a novel learning algorithm, extanded Kalman filtering (EKF, EF), was proposed with high performance. EFNN was used for simultaneous multi-component analysis with good results and no separation.