Nano - and Micro Eelectromechanical Systems - S.E. Lyshevski Part 10

Tham khảo tài liệu 'nano - and micro eelectromechanical systems - . lyshevski part 10', kỹ thuật - công nghệ, cơ khí - chế tạo máy phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả | To solve analysis prediction classification modeling and optimization problems neural networks or genetic algorithms can be efficiently used. Neural networks and generic algorithms have evolved to the mature concepts which allow the designer to perform reliable analysis design and optimization. Qualitative reasoning in the structural synthesis and optimization of NEMS and MEMS is based upon artificial intelligence and the ultimate goal is to analyze model and optimize qualitative models of NEMS and MEMS when knowledge processes and phenomena are not precisely known due to uncertainties for example micromachined motion microstructures properties and characteristics . charge density thermal noise and geometry are not precisely known and varying . It is well known that qualitative models are more reliable compared with traditional models if there is a need to perform qualitative analysis modeling design optimization and prediction. Quantitative analysis and design use a wide range of physical laws and mathematical methods to guarantee validity and robustness using partially available quantitative information. Structural synthesis and performance optimization can be based on the knowledge domain. Qualitative representations and compositional geometric modeling are used to create control knowledge existing knowledge modeling and analysis assumptions specific plans and requirements domains task domain and preferences for solving a wide range of problems. The solving architectures are based upon qualitative reusable fundamental domains physical laws . Qualitative reasoning must be applied to solve complex physics problems in NEMS and MEMS as well as to perform engineering analysis and design. Emphasizing the heuristic concept for choosing the initial domain of solutions the knowledge domain is available to efficiently and flexibly map all essential phenomena effects and performances. In fact Structural Classification Table ensures modeling synthesis and .

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