文件名称:fuimingsan
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基于分段非线性权重值的Pso算法，gmcalab 快速广义的形态分量分析，本程序的性能已经达到较高水平，可以广泛的应用于数据预测及数据分析,迭代自组织数据分析，可以动态调节运行环境的参数。
- Based on piecewise nonlinear weight value Pso algorithm, gmcalab fast generalized form component analysis, The performance of the program has reached a high level, Can be widely used in data analysis and forecast data, Iterative self-organizing data analysis, Can dynamically adjust the parameters of the operating environment.
- Based on piecewise nonlinear weight value Pso algorithm, gmcalab fast generalized form component analysis, The performance of the program has reached a high level, Can be widely used in data analysis and forecast data, Iterative self-organizing data analysis, Can dynamically adjust the parameters of the operating environment.
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fuimingsan.m