Applied Mechanics and Materials Vols. 651-653

Abstract: In this paper, from the characteristics of Calisthenic teaching, it puts forward the aerobics teaching as a complex system, the new ideas of all reform measures must study and formulate according to the characteristics of complex systems, and cognitive behavior theory put forward a model of complex system based on aerobics teaching reform.

Abstract: This paper starts from learning the basic ant colony algorithm, studies the working principle of ant colony algorithm, summarizes the advantages and disadvantages of ant colony algorithm .And it proposed artificial improved ant colony algorithm based on the basic ant colony algorithm, the improved ant colony algorithm is more suitable for the university experimental class course scheduling, and carries on the overall analysis and detailed research on the actual timetabling problem, find out the reasons of conflict prone to course scheduling, according to the actual situation to solve, and finally find a comparison based on the algorithm of reasonable arrangement of ant colony algorithm, based on the algorithms require the creation of database related data tables, draw flow chart of relevant, according to the above data for design and development of the system.

Abstract: Aerobics is one of the sports, which is in the accompaniment of music, the exercise as the basic method, the aerobic exercise as the basis, to improve health, physical sport and entertainment purposes. In view of the above requirements, this paper has proposed the aerobics dynamic hierarchical mode in the course of the hidden layer, meets the training goal of sports education professional students.

Abstract: Current Chinese segmenting method doesn’t consider grammar and semantics during the process of segmenting. So segmenting accuracy and speed are not good. Therefore, on the base of analyzing the peculiarity of Chinese, a knowledge-based Chinese segment method, KSM, is presented. It uses a dictionary of hierarchical structure to get all the re-segmented words and makes ambiguity processing easy and effective. It gets support not only from letters and words knowledge, but from grammar and semantics knowledge. It removes wrong segmentation by checking grammar and semantics. Also It can learn new words to improve the accuracy of segmenting.