Intelligent Information Processing with Matlab

This book is a comprehensive collection of technologies and methods on intelligent information processing, which includes artificial neural network, fuzzy logic, and evolutionary computing. It also introduces the latest research directions and progress in intelligent information processing, such as transfer learning through convolutional neural network, time series prediction, clustering based on fuzzy neural network, test and evaluation of the traveling salesman problem, test and evaluation of continuous optimization problem, and more.

This book promotes the development and application of intelligent information processing technology in the field of computational intelligence, effectively improving the intersection and integration of intelligent information processing methods. Researchers in computational intelligence and artificial intelligence technology, as well as teachers, students, and others interested in the subject, will benefit from this book.

Provides systematic introduction to the methods, technologies, and recent research on intelligent information processing Presents a comprehensive study of applying artificial neural network in numerical data, image data, and other aspects Is a comprehensive study of applying fuzzy logic in numerical data, time series data, and other aspects

Autorentext

Xiu Zhang is Associate Professor at College of Artificial Intelligence at Tianjin Normal University. She received the B.Eng. and M.Eng. degrees in biomedical engineering from the Hebei University of Technology, Tianjin, China, in 2006 and 2009, respectively, and the Ph.D. degree in electrical engineering from The Hong Kong Polytechnic University, in 2012. From 2013 to 2015, she was Postdoctoral Fellow with The Hong Kong Polytechnic University. From 2015 to 2016, she was Assistant Professor at Tianjin Normal University, and since 2016, she is Associate Professor at Tianjin Normal University. Xiu Zhang is Distinguished Professor of Tianjin (Young Scholar), Thousand Talents Program (Young Scholar) of the Tianjin Municipal.

Xiu Zhang' research interests are computational intelligence, wireless sensor network, wireless power transmission, and so on. She is also focused on deep learning in EEG-based emotion recognition. She has published more than fifty papers in international journals and conferences.

Xin Zhang is Associate Professor at College of Electronic and Communication Engineering at Tianjin Normal University. He received the B.Sc. degree from Ludong University, in 2006, the M.Sc. degree from the Shandong University of Science and Technology, in 2009, and the Ph.D. degree from City University of Hong Kong, in 2013. Since 2015, he has been working with Tianjin Normal University.

Xin Zhang' research interests are wireless networks, artificial intelligence, resource allocation, and so on. He is also focused on artificial intelligence in education such as student performance prediction and course recommendation. He has published more than forty papers in international journals and conferences.

Wei Wang is Professor at College of Artificial Intelligence in Tianjin Normal University. He obtained his B.Eng. in Measuring and Controlling Technology and Instrument from University of Science and Technology Beijing in 2003, and he obtained his M.S. and Ph.D. in Measuring Technology and Instrument from Tianjin University in 2006 and 2010, respectively. From 2010 to 2012, he was Assistant Professor at Tianjin Normal University, and from 2012 to 2017, he is Associate Professor at Tianjin Normal University. Wei Wang is IEEE Senior Member and Distinguished Professor of Tianjin (Young Scholar).

Wei Wang' research interests are wireless sensor networks, data stream mining, graph signal processing, few shot learning, Artificial Intelligence in Education, and so on. He is also focused on RD field especial in optic fiber sensor network. He has published more than fifty papers in international journals and conferences.

Inhalt

Artificial Neural Network.- Convolutional Neural Network.- Fuzzy Logic.- Fuzzy Neural Network.- Evolutionary Computing.- Test and Evaluation of Evolutionary Computing Methods.