[Extended Kalman filtering trained neural networks and multicomponent analysis of amino acids].
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.
Li
Z
Z
Hunan University, Changsha, 410082 Changsha.
Matsumoto
S
S
Yu
B
B
Sakai
M
M
Li
M L
ML
D000465:Algorithms; D000596:Amino Acids / Q000032:analysis*; D016571:Neural Networks, Computer; D013056:Spectrophotometry, Ultraviolet
D000596:Amino Acids