Interdisciplinary Evolution of the Machine Brain / Research on Intelligent Manufacturing (PDF)

University, China. He used to be an associate professor at the department of information and computer science of Changsha University, China. He studied as a visiting scholar at the Department of Mathematics of Beijing Normal University from Sept. 1990 to Sept. 1991 and was trained on computer applications at Niagara College, Canada, from March of 1987 to Mach of 1988. He received a bachalor's degree in Engineering from Nanjing University of Aeronautics and Astronautics in 1982. He was a worker of a steel plant before Dec. of 1977 and a peasant in a forest farm before Dec. of 1976. His main research interests are semantic information theory, color vision mechanism, portfolio, and statistical learning. His current research is focused on mixture models, maximum mutual information classifications, confirmation measures, and the probability framework. Limin Zhang is currently a Full Professor and Tutor for Doctor of Naval Aeronautical University, Yantai, Shangdong, China. In 2005, he graduated from Tianjin University with a doctorate degree in signal and information processing. He was a senior visiting scholar at the University of London (UCL) Modern Space Analysis and Research Center (CASA) from 2006 to 2007. His current research interests include signal processing, Complex system simulation and computational intelligence. More than 180 papers are published and 80 papers are indexed by SCI, EI. 2 monographs are published and 20 patents are applied and 6 were authorized. Professor Zhang enjoys the State Council special allowance, and has been rated as outstanding national science and technology workers, millions of talent engineering national candidates, Taishan scholars experts, provincial leaders, outstanding innovation team in Shandong Province. Professor Zhang won two Second Class Prizes of National Scientific and Technological Progress Award, five First Class Prizes and four Second Class Prizes of Military Scientific and Technological Progress Award, two First Class Prizes of the Military Teaching Achievement, two Second Class Prizes of Provincial Teaching Achievement.