实验结果表明，该方法具有数据正确分类率高和抗噪能力强等优点，有效地实现了融合识别。

The experimental results show that high correct classification rate and good tolerance to noise interference can be achieved for fusion recognition.

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将该方法与其它旋转不变纹理分类算法进行比较，实验结果表明，提出的算法能有效地提高正确分类率。

This method is compared with other rotation invariant texture classification algorithm, the experiment results show that it can improve the classification rate effectively.

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结果表明，对学习集中68种化合物的正确分类率达到95%，对其余20种化合物的正确预报率达到90%。

It showed that the correct classification rate reached 95% in training set including 68 patterns, and the correct prediction rate was about 90% in prediction set including 20 patterns.

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