Hopfield neural networks with problem perturbing noise
- Resource Type
- Conference
- Authors
- Kumeno, Hironori
- Source
- 2014 IEEE Asia Pacific Conference on Circuits and Systems (APCCAS) Circuits and Systems (APCCAS), 2014 IEEE Asia Pacific Conference on. :771-774 Nov, 2014
- Subject
- Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Signal Processing and Analysis
Noise
Neurons
Biological neural networks
Optimization
Production facilities
Chaos
Artificial neural networks
- Language
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.