结果表明，运用该方法取得了较好的效果，并可以用此模型来解决类似的评价和判别问题。
It is concluded that the result of neural network method is effective and can be used to solve the issues like the appraisal and distinguish of water bursting.
在最小标度区间内研究样品，有利于区别不属于同一母体的异常样品，这个方法适用于地质对象的评价和分类判别。
To study the samples in minimum interval, it is beneficial to differentiate abnormal sample from population. The method can be used in appraisal and distinguish of the geological objects.
基于未确知测度空间理论，建立了未确知测度评价模型，并将此理论模型应用于膨胀土的膨胀性判别和分类。
The model, which was used to evaluate expansibility and classification of expensive soil, was set up based on the theory of unascertained measure.
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