Aiming at the difficulties existing in large-scale water pollution monitoring systems, a connectionist model based local optimization algorithm and its application are discussed in this paper.

针对水域污染监测数据融合系统中存在的困难，讨论了基于“连接”模型的局部优化算法及其应用。

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Aimed at particle swarm optimization (PSO) algorithm being easily trapped into local minima value in multimodal function, a rotating surface transformation (RST) method was proposed.

针对粒子群优化算法(PSO)应用于多极值点函数易陷入局部极小值，提出旋转曲面变换(RST)方法。

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During adjustment process, a creative method named reverse adjustment was adopted, to prevent the algorithm from being got in local optimization trap.

该算法的基本思路是边构造边调整路径，在调整中采用了独创的逆向调整方法，避免算法陷入局部优化陷阱。

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