基于最小二乘法的参数复核识别算法可以提高参数误差识别的效率。
The parameter check-identification method based on the least squares method makes parameter error identification more efficient.
在结构损伤识别的时域法研究中，数值积分的误差将直接影响反演参数结果的精度。
In study on structure damage identification in time domain, error of numerical integral will affect directly accuracy of parameters resulted from reversion.
由确定性退火技术构造学习规则用于优化分类器参数，目的是减少分类误差以及待识别空间的系统熵。
Learning rules are constructed according to deterministic annealing to optimize classifier parameters, on purpose to reduce classification error and system entropy of the space to be identified.
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