%0 Journal Article
%T PARALLEL DYNAMICS AND FAST LEARNING ALGORITHM FOR A COMPLEX NEURAL NETWORK<br>一种复合神经元网络结构的并行动力学及快速学习算法
%A 王宝翰
%A 岳刚
%J 生物物理学报
%D 1992
%I 
%X A complex neural network (CNN) , which consists of two types of nerve cell, differing functionally from each other, is suggested. Parallel dynamics for a special architecture of CNN is derived and its stability is proved. Based on the above-mentioned result, a fast pseudo-inverse matrix learning algorithm is obtained for the CNN. The validity of the learning algorithm and the dynamical stability are confirmed by the computer simulated experiments.
%K Neural network
%K Parallel dynamics
%K learning algorithm<br>神经元网络
%K 并行动力学
%K 学习算法
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=90BA3D13E7F3BC869AC96FB3DA594E3FE34FBF7B8BC0E591&jid=E0C9D9BBED813D6674AC13E942EAC86D&aid=6F4B2AF07746A9C43F5554F6002984FF&yid=F53A2717BDB04D52&vid=5D311CA918CA9A03&iid=CA4FD0336C81A37A&sid=31611641D4BB139F&eid=DABEF202280E7EF1&journal_id=1000-6737&journal_name=生物物理学报&referenced_num=0&reference_num=2