Recognition system in this paper has achieved a good rate of recognition in random handwritten numeral by test.
通过测试，本识别系统对于较规范的手写体数字的识别达到了很好的识别效果。
According to the data of test, the numeral characteristics of variables are acquired by statistic analysis, and then random Numbers which are as same distribution as the variables are generated.
利用室内测试数据，对随机变量进行统计分析，得到其数字特征，进而得到服从随机变量分布的随机数。
For random 3-sat test instances, the numeral experiment indicate that DS_BPSO has the advantage over BPSO algorithm.
对随机3 - SAT测试实例的数值计算表明：该算法的性能远远超过BPSO算法。
Based on pseudo random uniformity number and the central limit theory of great numeral, random Numbers of Gaussian distribution are produced.
以伪均匀随机数为基础，根据大数中心极限定理，产生高斯分布随机数。
Based on pseudo random uniformity number and the central limit theory of great numeral, random Numbers of Gaussian distribution are produced.
以伪均匀随机数为基础，根据大数中心极限定理，产生高斯分布随机数。
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