Title :
Novel comprehensive Bionic Neuron unified model
Author :
Lv Jin ; Yang Xiao-Jun ; Guo Chen
Author_Institution :
Sch. of Inf. Eng., Chang´an Univ., Xi´an, China
Abstract :
Synthesize the 12 basic characteristics of the biologic neuron universally approbated by current biomedical and the engineering science field, and based on it put forward a novel unified framework model of artificial neuron --- Comprehensive Bionic Neuron which reflect more complete characteristics of the biologic neuron. Using this unified model to represent the various familiar neuron models and various learning algorithms, its validity is proved.
Keywords :
biocybernetics; learning (artificial intelligence); neural nets; artificial intelligence; artificial neural network; biologic neuron; biomedical engineering; bionic neuron; learning algorithms; unified model; Artificial intelligence; Artificial neural networks; Automation; Biological system modeling; Biology; Biomedical engineering; Educational institutions; Electronic mail; Mechatronics; Neurons; artificial intelligence; artificial neural network; neuron model; unified model;
Conference_Titel :
Industrial Mechatronics and Automation, 2009. ICIMA 2009. International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-3817-4
DOI :
10.1109/ICIMA.2009.5156545
