Title :
Dynamical properties of higher order random neural networks
Author :
Miyajima, Hiromi ; Ma, Lixin ; Suwa, Hiroyuki
Author_Institution :
Kagoshima Univ., Japan
Abstract :
The authors have previously shown dynamical properties-dynamics of the activities for states-for higher order random neural networks, which use the weighted sum of products of input variables, with the digital state {1-,1} model. The paper describes dynamical properties for higher order random neural networks with the analog state models and the digital state (0,1) model.
Keywords :
neural nets; random processes; stochastic systems; analog state models; digital state model; dynamical properties; higher order random neural networks; input variables; weighted product sum; Computer networks; Distributed processing; Input variables; Neural networks; Neurodynamics; Stability;
Conference_Titel :
Tools with Artificial Intelligence, 1996., Proceedings Eighth IEEE International Conference on
Print_ISBN :
0-8186-7686-7
DOI :
10.1109/TAI.1996.560743
