Title :
A sensitive cell neuron model based on chaos
Author :
Zupeng, Li ; Yuguo, Dong ; Peiyang, Yao
Author_Institution :
Telecommun. Eng. Inst., Airforce Eng. Univ., Xi´´an, China
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
Keywords :
chaos; measurement; neural nets; signal resolution; biological sensorium; chaos; chaotic measurement; chaotic system; chaotic theory; feeble signals; mathematical model; neural network; sensitive cell neuron model; sensitive chaotic cell neuron; sensitivity; signal processing; signal resolution; simulation results; Binary sequences; Biosensors; Cells (biology); Chaos; Electronic mail; Extraterrestrial measurements; Mathematical model; Neurons; Signal processing; Signal resolution;
Conference_Titel :
Signal Processing Proceedings, 2000. WCCC-ICSP 2000. 5th International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-5747-7
DOI :
10.1109/ICOSP.2000.894485
