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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.
目前针对武汉市城市土地的研究仅限于土地质量评价、土地分等定级、土地利用程度、土地利用结构演变及其动态监测层面。
At present, many studies aimed at Wuhan urban land only settled in land quality appraise, land classify, land use degree, land use structure evolvement and dynamic inspection, and so on.
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