Prof. Chunbo Xiu, Tianjin polytechnic University, China

Speech Title: Associative Memory Network and Its Applications

Abstract: A novel associative memory network composed of input layer, computing layer, associative layer and output layer is introduced. An improved Hebb learning rule is designed for the associative network to perform the associative memory of strong correlation and multi-valued sample patterns. The associative memory can be performed by the associative network in only one forward calculation. The hardware circuit of the network can be designed by simple devices to ensure its parallel computation ability and meet the real-time requirement. Target tracking can be performed by the network.

Prof. Chunbo Xiu received the Ph.D. degree in Navigation, Guidance and Control from Beijing Institute of Technology, Beijing, China, in 2005. He received the B.S. degree in automatic control from Beijing Institute of Technology, Beijing, China, in 2000. He is currently the dean of Automation Department, School of Electrical Engineering and Automation, Tianjin polytechnic University. He has published over 100 papers and authorized 8 patents. His research interests include intelligent control, sliding mode control, neural networks, system modeling, and chaos control.