【摘要】 为了提高热物性参数辨识的准确度,将遗传算法(genetic algorithm)应用于热物性参数辨识,提出了完整的数学模型.数值模拟结果表明,此法具有相当的精确度,不但没有造成噪声放大,而且还对噪声进行了过滤,使得输出噪声比输入噪声小了许多,成功克服了反问题中误差累积放大的弱点.本算法应用的唯一前提是相应的正问题可解.该算法很容易应用到其它热物性参数辨识和其它类型的反问题中.更多还原

【Abstract】 In order to improve the accuracy of thermophysical parameter identification,the genetic algorithm was applied to it and a complete mathematic model was presented.The results of numerical simulation shows that this method possesses such fair accuracy that the noise does not enlarge but is filtered,instead,making the ratio of output noise to input one much more decreased.Thus the drawback to error accumulation and enlargement is successfully overcome.The only premise of its application is that the corresponding positive problem should be solvable.Therefore,it is very easy to use it for other thermophsical parameter identification and for solution of other kinds of inverse problems.更多还原