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Intelligent Decision-Making Support System Design and Achieve for Rocket Launch Command Operation

Author: YangFangXun
Tutor: HuangXiZuo
School: Chongqing University
Course: Navigation,Guidance and Control
Keywords: Rocket command of business Fuzzy Neural Network Intelligent Decision Knowledge base
CLC: V55
Type: Master's thesis
Year: 2009
Downloads: 59
Quote: 1
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Abstract


Thesis intelligent decision support system for the study , outlined the concept of intelligent decision support system and its development status , and discusses the history of the development of the neural network , mainly related to the neural network model , application, research direction , learning algorithm ; introduced fuzzy the two wider neural network network FAM and FBAM fuzzy inference basic concepts ; expounded fuzzy neural network algorithm and its use in intelligent decision support system . This thesis is particular the base test task intelligent integrated command system smart from the distributed command the business subsystem as the background , in-depth research of intelligent decision support system based on fuzzy neural network . This paper analyzes the functional framework of intelligent decision support system based on fuzzy neural network , but from the knowledge acquisition, knowledge representation, knowledge testing and refinement four detailed analysis of intelligent decision support system 's knowledge base structure . A combination of domain knowledge mixed mode, the same time, the paper analyzes the consistency and completeness of the knowledge detection algorithm using fuzzy neural network and the traditional symbol of knowledge . Paper RBF fuzzy neural network, the equivalent structure is the use of fuzzy system and RBF neural network them together . Generally exist online weight adjustment computationally intensive , long training time and other shortcomings for large multidimensional fuzzy reasoning inference rules and difficult parameter identification problem , this paper presents a learning algorithm for fuzzy neural network . The algorithm can dynamically adjust the TS Fuzzy RBF network hidden nodes , but also to make adaptive changes of the value of the data center network , has good self - learning ability and optimization capabilities . In this paper, the object-oriented programming languages ??( VC 6.0) , VC 6.0 application development , the knowledge base and the inference engine package . Neural network computing with MATLAB Programming , and through the processing and transmission of data in VC Calling MATLAB computing engine . User interface using MFC to design and design rule base and database . Eventually develop a dynamic decision support intelligent decision support software platform .

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CLC: > Aviation, aerospace > Aerospace ( Astronauts ) > Ground equipment, test site, launch sites, space base
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