Fuzzy Neural Network Optimization by a Multi-Objective Particle Swarm Optimization Algorithm

  title={Fuzzy Neural Network Optimization by a Multi-Objective Particle Swarm Optimization Algorithm},
  author={Ma Ming and Zhou Chun-guang and Zhang Libiao and Ma Jie},
  journal={Journal of Computer Research and Development},
4 Citations

Multi-Objective Optimization Design for Gear Reducer Based on the Grey Particle Swarm Algorithm

The optimization results show that the optimal parameters, than the original design of parameters for satisfactory results show the particle swarm optimization algorithm is used for gray hoisting mechanism optimized parameter design of gear reducer is effective and feasible.

Applications of GRNN Based on Particle swarm algorithm Forecasting Stock Prices

This work uses PSO algorithm to optimize the GRNN in order for optimal smoothing factor and connection weights, and shows that PSO-GRNN model is more accurate, more stabilized and more generic than GRNN model.

Multi-objective Optimization of the Non-symmetrical Gear Bonding Strength Based on Integral Minimum Temperature of Gear Tooth Face

  • Qi Xue-yiSui Ming-lei
  • Engineering
    2011 Third International Conference on Measuring Technology and Mechatronics Automation
  • 2011
According to gear engagement theory and Principles of Modern Tribology, by example, taking the minimum integral of temperature on gear tooth face and the minimum value of the total volume of the

AI in China: A Survey

Research in automated reasoning, temporal and spatial knowledge representation and reasoning, natural language understanding, intelligent diagnosis, multiagent systems, computational intelligence, large-scale knowledge processing, and several research streams integrating AI techniques with methods from other fields are discussed.