群优化的模糊聚类算法 Fuzzy Particle Swarm Optimization
为解决此问题，提出一种基于捕食-被捕食的粒子群优化模糊聚类算法且聚类中心采用密度函数初始化。
To solve the problem, a fuzzy clustering based on predator prey PSO algorithm is presented, which is using density function to initialize cluster centre.
针对模糊C均值聚类算法对初始值敏感、易陷入局部最优的缺陷，提出一种新的优化方法。
Considering fuzzy C-means clustering algorithms are sensitive to initialization and easy fall - en to local minimum, a novel optimization method is proposed.
最后基于机理分析和模糊聚类技术建立了密闭鼓风炉过程操作参数优化决策模型。
Combining the mechanism analysis with Fuzzy Clustering technique, an optimization and decision-making model about operating parameters in the ISF smelting process is built.
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