Title :
Brownian motion theory as a physical foundation for feedback neural networks
Author :
Bastida, M. Romero ; Nazuno, J. Figueroa
Abstract :
A stochastic physical model is proposed for a certain class of neurocomputational architectures. The present study is based on considering the potentials of each neuron as a fluctuating quantity. In describing this process, a fluctuation can be understood, in a thermodynamic framework, if one considers the behavior of the variables (the neural potentials in this model) in a system with different types of interaction with the rest of the universe
Keywords :
Brownian motion; fluctuations; neural nets; thermodynamics; Brownian motion theory; feedback neural networks; fluctuation; neurocomputational architectures; relaxation; statistical mechanics; stochastic physical model; thermodynamic framework;
Conference_Titel :
Neural Networks, 1990., 1990 IJCNN International Joint Conference on
Conference_Location :
San Diego, CA, USA
DOI :
10.1109/IJCNN.1990.137901
