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本文在科学上研究提出适用于研究地区耕地分等的土地类型划分方法。
Based on scientific research, this paper has put forward cultivated land classification method being suitable for research of cultivated land.
常用的耕地分等评价方法主要是因素加权求和，该方法对因素权重的确定不免因主观性而对分等结果产生较大影响。
The method in common use for classification is weighted factors summation, which is influenced by subjectivity greatly to classification result.
将优化后的BP神经网络模型和简单的BP神经网络进行比较，实验结果表明，基于遗传算法优化的BP神经网络模型在耕地分等评价工作中的应用完全可行。
After the comparison of optimized BPNN model and simple BPNN model, the result shows that, it is completed feasible to use optimized BPNN model in cultivated land classification work.
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