Title :
Dynamic system simulation model and algorithm based on artificial neural networks
Author :
Lv, Xiujian ; Jia, Yongsheng ; Liu, Mingyuan
Author_Institution :
Dept. of Inf. Eng., ShijiaZhuang Vocational Technol. Inst., Shijiazhuang, China
Abstract :
Artificial neural network is a theory and technology which developed rapidly in recent years in the field of computer intelligence. In this paper, artificial neural network and system simulation concepts were introduced, and proposed simulation models based on dynamic neural network and system simulation model based on process neural network, and described the learning algorithm of the model.
Keywords :
digital simulation; learning (artificial intelligence); neural nets; artificial neural networks; dynamic system simulation model; learning algorithm; process neural network; Artificial neural networks; Biological neural networks; Biological system modeling; Computational modeling; Heuristic algorithms; Mathematical model; Neurons; Dynamic system; artificial neural networks;
Conference_Titel :
Instrumentation & Measurement, Sensor Network and Automation (IMSNA), 2012 International Symposium on
Conference_Location :
Sanya
Print_ISBN :
978-1-4673-2465-6
DOI :
10.1109/MSNA.2012.6324622
