Title :
Hopfield neural networks with problem perturbing noise
Author :
Kumeno, Hironori
Author_Institution :
Dept. of Electr. Eng., Matsue Collage of Technol., Matsue, Japan
Abstract :
In this study, we propose hopfield neural networks with problem perturbing noise. In the proposed system, external noises are not induced to state values of neurons in order to avoid problems caused by the noise injection into the state values. We investigate the solving ability of the proposed system for quadratic assignment problems.
Keywords :
Hopfield neural nets; perturbation techniques; Hopfield neural networks; external noises; noise injection; problem perturbing noise; quadratic assignment problems; Artificial neural networks; Biological neural networks; Chaos; Neurons; Noise; Optimization; Production facilities;
Conference_Titel :
Circuits and Systems (APCCAS), 2014 IEEE Asia Pacific Conference on
Conference_Location :
Ishigaki
DOI :
10.1109/APCCAS.2014.7032895
