Title :
On the Fast Convergence of Generalized Congruence Neural Network
Author :
Chen, Yong ; Wang, Guoyin
Abstract :
Recent studies on generalized congruence neural network show that such network has fast convergence rate. But the reason is unknown. In this paper, through the analysis on the error function of the generalized congruence neuron, we find that the fast convergence is due to the multiple minima, which is generated by the generalized congruence activation function. This conclusion is verified by two experiments
Keywords :
convergence; error analysis; generalisation (artificial intelligence); neural nets; error function; fast convergence; generalized congruence activation function; generalized congruence neural network; Computer errors; Computer science; Convergence; Electronic mail; Error analysis; Feedforward systems; Function approximation; Information science; Neural networks; Neurons;
Conference_Titel :
Neural Networks and Brain, 2005. ICNN&B '05. International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-9422-4
DOI :
10.1109/ICNNB.2005.1614563
