A technique for Fuzzy Cognitive Maps learning,which is based on the Quantum-behaved Particle Swarm Optimization algorithm,is *** proposed approach is used for updating the nonzero weight values that lead the Fuzzy Cog...
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A technique for Fuzzy Cognitive Maps learning,which is based on the Quantum-behaved Particle Swarm Optimization algorithm,is *** proposed approach is used for updating the nonzero weight values that lead the Fuzzy Cognitive Map to desired steady *** workings of the approach are applied to an industrial control *** results support the claim that the proposed technique is a promising methodology for Fuzzy Cognitive Maps learning,and the methodology is effective and efficient.
Approaches to the determination of the minimum bounding box are widely used in mold, packing and layout design. One example in die and mold manufacture is the discrimination of whether a part can be made from standard...
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Approaches to the determination of the minimum bounding box are widely used in mold, packing and layout design. One example in die and mold manufacture is the discrimination of whether a part can be made from standard sized stock material. algorithms of determining the minimum bounding box are firstly introduced and analyzed in this paper. Novel methods of finding the minimum bounding box based on optimization algorithms are proposed. By applying optimization algorithms, the minimum bounding box of an arbitrary solid can be decided by rotating a block containing the solid. Simulation results show that proposed approaches are efficient and effective to the determination of the minimum bounding box of a solid.
Great emphasis is paid on transverse flux permanent motors (TFPM) in recent years especially in powerful propulsion system. However, the cogging torque in TFPM leads to mechanical vibration and noise inevitably. This ...
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ISBN:
(纸本)7560518699
Great emphasis is paid on transverse flux permanent motors (TFPM) in recent years especially in powerful propulsion system. However, the cogging torque in TFPM leads to mechanical vibration and noise inevitably. This paper presents a new-TFPM with combined stator and concentrating flux rotor configurations. The related design parameters that reduce the cogging torque are investigated by using equivalent magnetic network method (MNM) for magnetic field analysis and particle swarm optimization (pso) algorithm for optimization. The computation result shows the pso can minimize the cogging torque substantially without deterioration the performance of TFPM.
Great emphasis is paid on transverse flux permanent motors (TFPM) in recent years especially in powerful propulsion system. However, the cogging torque in TFPM leads to mechanical vibration and noise inevitably. This ...
详细信息
Great emphasis is paid on transverse flux permanent motors (TFPM) in recent years especially in powerful propulsion system. However, the cogging torque in TFPM leads to mechanical vibration and noise inevitably. This paper presents a new TFPM with combined stator and concentrating flux rotor configurations. The related design parameters that reduce the cogging torque are investigated by using equivalent magnetic network method (MNM) for magnetic field analysis and particle swarm optimization (pso) algorithm for optimization. The computation result shows the pso can minimize the cogging torque substantially without deterioration the performance of TFPM.
Product tolerance is one of the key factors which can determine the good or bad performance of mechanical productsIts size not only affects the manufacturing and assembly process, but also affects product features [1]...
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Product tolerance is one of the key factors which can determine the good or bad performance of mechanical productsIts size not only affects the manufacturing and assembly process, but also affects product features [1]Thus tolerance optimization design gets more and more attentionIn this paper, an improved physical programming method is used to make mathematical modeling for tolerance allocation problem of assembly dimensional chain, and pso algorithm is also used to improve solving abilityAnd the effective solution for tolerance optimization is designed.
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