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应用计算机模式识别技术研究鳜塘水体中溶氧量与九项生态因子间的相互关系。研究表明 ,不同塘或不同时期其生态因子差异较大。在高维空间中 ,高、低溶氧量两类样品点聚集在不同的区域 ,周界清晰、分类十分成功 ,表明池塘水体溶氧量与水中多项生态因子间存在显著规律性。用模式识别优化技术求得维持稳定的高溶氧状态的 9项生态指标值 ,优化生态因子的溶氧预报值大于 8.4mg/L。水体溶氧量与其它九项因子成多元的二次函数关系 ,其模型复相关系数R =0 .97。对测量点溶氧量的回代准确率为 93.9%。
Application of Computer Pattern Recognition Technology to Study the Relationship between Dissolved Oxygen and Nine Ecological Factors in Huangtang Water Body. Studies have shown that different ponds or different periods of their ecological factors are quite different. In the high-dimensional space, high and low dissolved oxygen samples gathered in different areas of two types of samples, the perimeter is clear, the classification is very successful, indicating that there is a significant regularity between dissolved oxygen in pond water and many ecological factors in water. Using the pattern recognition optimization technique, nine ecological indexes were calculated to maintain a stable state of dissolved oxygen, and the dissolved oxygen prediction value of the optimized ecological factors was greater than 8.4 mg / L. The dissolved oxygen content in water body is multiplicative quadratic function with other nine factors, and its model correlation coefficient R = 0.97. The correct rate of dissolved oxygen to the measuring point is 93.9%.