Explore MATLAB source code curated for "规则" with clean implementations, documentation, and examples.
Dynamic Fuzzy Neural Network with Automatic Rule Generation Capability. Derived from Professor Wu Shiqian's book "Dynamic Fuzzy Neural Networks" at Tsinghua University, featuring adaptive learning algorithms and self-organizing network structures.
Development of a rule-based logic threshold vehicle control strategy for hybrid electric vehicles using Simulink modeling
Fuzzy Controller: Establishing complex fuzzy rules using MATLAB. Can be implemented through custom programming or utilizing MATLAB's built-in Fuzzy Logic Toolbox for comprehensive fuzzy inference system design.
The Marine Predators Algorithm (MPA) is a nature-inspired optimization technique that mimics the natural rules governing optimal foraging strategies and predator-prey velocity interactions in marine ecosystems. This algorithm employs three distinct velocity ratio phases to balance exploration and exploitation during optimization. MPA's performance has been rigorously evaluated against 29 benchmark functions, the CEC-BC-2017 test suite, randomly generated landscapes, three engineering benchmarks, and two practical engineering design problems involving ventilation and building energy efficiency. Comparative analysis includes three categories of optimization methods: 1) Well-established metaheuristics (GA and PSO); 2) Recently developed algorithms (GSA, CS, SSA); 3) High-performance optimizers (CMA-ES, SHADE, LSHADE-cnEpSin).
MATLAB-based fuzzy control rules enable system simulation and modeling through fuzzy logic algorithms