The Optimization And Application Of The Neural Network Together With Intelligence Methods

The cement material is not only widely used in industrial and civil architecture also applied extensively to traffic, civic building, country irrigation and ocean engineering. It is highly valued by people as one of the most important raw materials.According to forecast, cements and other cementing materials still are major building materials.With the development of materials science, profound changes of people's knowledge to cement materials are taking place, which have characteristics and tendency as following: l)The knowledge to essence of cement materials from microscopy to microscopy is been increasingly enlarging, and the relationship between the performance and the interior structure of cement materials is gradually revealed. Consequently, the theoretical basis is provided for developing new variety and enlarging application area. 2) In aspects of process producing cement materials, hydrating and hardening, people's knowledge is rising from experience to theory, from phenomenon to essence, so providing theoretical basis to effectively control the production process of cement materials and produces as well as adopt new process and technology.It needs a mass of data to correctly reflect a good many of complex factors and the performance of cement in the process of hydrating, researches of home and abroad are focus on data forecast by experiments and the Neural Network. Obviously, the way of experiment costs very large manpower and material resources, while the Neural Network is a technology processing information with intelligence, which tries to stimulate human's way of dealing with problem to understand and utilize information. By automatic adjustment for the network structure and the processing of weight value, the Neural Network can carry out partial functions of the non-living creature's nerve network system and deal with complex industrial process with high dimension and strong jamming. So it provides another feasible measure to stimulate the process of cement's hydrating and hardening under complex situation.But the main existing problem of the Neural Network technology is absent of ability for global search and easy to trap in local minimum. Therefore, the data forecasted by the technology of Neural Network is not exact. Particles Algorithmpresented in the nineties is an optimization algorithm based on the theory of colony intelligence. Swarm intelligence instructed optimization research is produced by cooperation and competition among swarms in colony. The combination of the Particles Algorithm and the Neural Network is based on overcoming the lower reliability in the study of the Neural Network and the global search strategy. It is used to optimize the structure and delete the redundant connections in training the weight value of NN. For this reason the intelligent algorithm combined the Particles Algorithm and the Neural Network is employed in this paper.The intelligent algorithm is applied in the process of the cement hydrating to forecast the relationship among the particle size of distribution of coal gangue, expansible degree of cemenU water demand, time of coagulation, strength. For the same kind of Lafarge cement, the changing condition of the cement strength mixed different content of steel slag and water binder ratio, the relative data flow diagram is presented.