1. A sensitive cell neuron model based on chaos
- Author
-
Yao Peiyang, Dong Yuguo, and Li Zupeng
- Subjects
Nonlinear Sciences::Chaotic Dynamics ,CHAOS (operating system) ,Signal processing ,Artificial neural network ,Computer science ,business.industry ,Chaotic ,Biological neuron model ,Artificial intelligence ,Sensitivity (control systems) ,business ,Topology - Abstract
The research in the high sensitivity of the biological sensorium has been the blank in the work of NN (neural network). According to the analyzing results of chaotic theory, the chaotic system has an extremely high sensitivity and resolving power. Based on the application of chaotic theory to measuring, this paper proposes a concept of the sensitive chaotic cell neuron (SCCN) and a mathematical model for SCCN. Like the biological sensorium, the SCCN can get a high sensitivity and resolving power to feeble signals. The simulation results show the high sensitivity of SCCN to the feeble signals.
- Published
- 2002