为了支持这种趋势，将更加灵活和新的分等级的性能添加到语言中去，用以支持软件模型在任意复杂的级别中使用。
To support such trends, flexible new hierarchical capabilities were added to the language to support software modeling at arbitrary levels of complexity.
为了确定最佳匹配，编译器将实参类型到相应形参类型转换划分等级。
In order to determine the best match, the compiler ranks the conversions that could be used to convert each argument to the type of its corresponding parameter.
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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