CAJ | 학술논문

提出一种基于极大似然法的二房室模型参数辨识方法。为验证本方法的有效性，我们比较了基于极大似然法和递推增广最小二乘法估计得到的常用二房室模型的参数值及其绝对误差。结果表明，基于极大似然法的非线性二房室模型参数辨识准确性和可行性明显优于递推增广最小二乘法。通过极大似然法获得的较小误差的非线性二房室模型参数估计值可用于相关临床试验，有助于提高建立非线性二房室模型的实用性。
제출일충기우겁대사연법적이방실모형삼수변식방법。위험증본방법적유효성，아문비교료기우겁대사연법화체추증엄최소이승법고계득도적상용이방실모형적삼수치급기절대오차。결과표명，기우겁대사연법적비선성이방실모형삼수변식준학성화가행성명현우우체추증엄최소이승법。통과겁대사연법획득적교소오차적비선성이방실모형삼수고계치가용우상관림상시험，유조우제고건립비선성이방실모형적실용성。
A approach according to the Maximum Likelihood method was presented in this paper to identify the parameters of the Two-compartment Model.To verify the performance of this method, the estimation parameters of the Two-compartment Model ob-tained from it and their absolute errors were compared with those obtained from the methods based on recursive augmented least -squares algorithm.It could be seen that the accuracy and feasibility of the identification-parameters of the nonlinear two-compart-ment model received by Maximum Likelihood method were obviously better than those from the recursive augmented least-squares method.So those parameters with smaller deviations can be used in correlative clinical trial to improve the practicability of the nonlinear two-compartment model.