Introduction to the Course“Intelligent Information Processing Technique”
Intelligent information processing stimulates behavior of human or other creatures in natural world, constructs the principles and algorithms as well as systemic techniques to process information of complex systems. Intelligent information processing is a front line subject in modern sciences. Meanwhile, it is a quickly developing new subject with the advent of new ideas and new theory along with new techniques. It has been widely used in many fields.
The course “Intelligent Information Processing Technique” is an optional course for students who are majoring in The Internet of Things. The course aims at teaching students to grasp basic concepts, basic principles and basic methods in intelligent information processing, as well as the abilities to analyze and solve practical problems. In order to lay solid foundation for future work such as engineering design, science research as well as exploiting new technique fields.
The main content of the course includes basic concepts and methods of intelligent information processing, basic principles of multi-sensor fusion systems, distributed adaptive dynamic data fusion methods, basic methods of neural network information processing, basic theories of fuzzy inference systems, co-genetic algorithms, ant colony algorithms and so on.
The course will be taught in the first semester of the forth academic year, which includes 32 hours. Its prerequisite courses include discreet mathematics, data structure, algorithm analysis and design, fuzzy mathematics. There are 16 hour experiments in this course.