动态光散射反演算法参数的微小变化会导致解的巨大偏差，因此需建立反演算法的评价指标，据此对反演结果进行评价，以提高测量的精度。从相关函数的拟合精度、粒度分布的稳定性、测量结果的重复性等三个方面对反演算法进行了分析，进而建立起了反演算法的三个评价指标。评价指标一：相关函数拟合的均方根（RMS）误差小于 0.001，误差的品质因子Q>0.7；评价指标二：粒度分布范数的相对标准偏差RN<5%；评价指标三：测量结果的相对标准差（RSD）小于 2%。实验结果表明：当反演算法满足三个评价指标时，其稳定性好，重复精度高，可以获得最接近实际的测量结果。

Small changes of parameters of inversion algorithm for dynamic light scattering will result in large deviation of its solution. In order to improve the measurement accuracy, it is need to establish a set of criteria to evaluate the solution of inversion algorithm. The paper analyses the inversion algorithms in three aspects: fitting precision of correlation function, stability of particle size distribution, and repeatability of solution, then proposes three evaluation criteria. Criteria I: root mean square　(RMS) error of fitting correlation function should be smaller than 0.001, quality factor(Q) of error should be Q>0.7; criteria II: sample standard deviation (RN) of the norm of particle size distribution should be RN<5%; criteria III: relative standard deviation (RSD) of the solution should be smaller than 2%. Experimental data show that in case of the inversion algorithm meets all three evaluation criteria, it can be obtained the most close to the actual measurement results with good stability and high repeat precision.