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Performance-comparison-of-G-A--Pso-and-He-in-beam
- Performance comparison of Genetic Algorithm, Particle swarm optimization and Hybrid evolutionary algorithm in beamforming
1236874SVMcgForRegress
- 粒子群优化支持向量机算法 实现对c g 的改进-PSO support vector machine algorithm to achieve the c g Improvement
2016.11.03DE_SVR(差分进化)
- 以优化SVR算法的参数c和g为例,对DE(差分进化)算法MATLAB源码进行了详细中文注解。(Differential Evolution algorithm (DE) is a heuristic random search algorithm based on group differences. This algorithm is proposed by R.S and k.p. rice for solving Chebyshev polynomials. DE algorithm is
psoSVM
- 采用粒子群算法优化支持向量机的两个参数c与g,以进行后续的实验(Particle swarm optimization (PSO) is used to optimize two parameters c and G for support vector machines for subsequent experiments)