Research on the Prediction Model of Intelligent Computing in the Collaborative Mode of Public Management Multi-Information
Author:
Affiliation:
1. Linfen Municipal Party School of the Communist Party of China,Linfen,Shanxi Province,China,041000
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10360495/10361043/10361223.pdf?arnumber=10361223
Reference15 articles.
1. An Improvement in LQR Controller Design based on Modified Chaotic Particle Swarm Optimization and Model Order Reduction
2. Parameter identification of permanent magnet synchronous motors using quasi-opposition-based particle swarm optimization and hybrid chaotic particle swarm optimization algorithms
3. Application of BPNN optimized by chaotic adaptive gravity search and particle swarm optimization algorithms for fault diagnosis of electrical machine drive system
4. Novel Particle Swarm Optimization Algorithm Based on President Election: Applied to a Renewable Hybrid Power System Controller
5. Power supply system scheduling and clean energy application based on adaptive chaotic particle swarm optimization
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