The contrast optimization algorithm is described as an optimization model via which the local optimal solution can be achieved.
本文将对比度最优自聚焦算法等效为一个求解局部最优解的优化模型。
The standard particle swarm optimization algorithm as a random global search algorithm, because of its rapid propagation in populations, easily into the local optimal solution.
标准的粒子群优化算法作为一种随机全局搜索算法，因其在种群中传播速度过快，易陷入局部最优解。
SVM has better generalization and guarantee the local optimal solution is exactly the global optimal solution. SVM can solve the learning problem of a smaller number of samples.
支持向量机具有小样本、较好的泛化能力、全局最优解等特点，在状态识别领域中表现出优良的特性。
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