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实测 2 39株凹叶厚朴样木的胸径和材积 ,采用遗传算法、三次设计法和改进单纯形法等拟合一元材积方程并与对数线性化最小二乘法进行比较。结果表明 :采用遗传算法、三次设计法和改进单纯形法等建立一元材积方程优于对数线性化最小二乘法 ;三次设计及对数线性化最小二乘法的适用性检验统计量F值不能通过F检验 ,说明不能用三次设计及对数线性化最小二乘法拟合凹叶厚朴的材积方程 ;同时用模外 2 5株凹叶厚朴样木进行检验 ,遗传算法和改进单纯形法建立的一元材积方程的理论材积与实测材积相吻合。用遗传算法建立的立木材积方程编制了凹叶厚朴的一元材积表。表 3参 1 3
The DBH and volume of 2 39 isolates of Magnolia obovata were measured and compared with the logarithm linear least squares method by using the genetic algorithm, the third design method and the improved simplex method. The results show that the establishment of the one-piece volume equation is superior to log-linear least squares by genetic algorithm, cubic design method and improved simplex method. The fitness test statistic F-value of cubic design and log-linear least square method can not pass F test showed that the cubic equation and logarithmic linear least squares method can not be used to fit the volume equation of Magnolia officinalis. Meanwhile, the test was carried out with 25 out of molds, and the single volume equation established by the genetic algorithm and the improved simplex method The theoretical volume coincides with the measured volume. With the establishment of genetic algorithm established timber volume equation Magnolia plankton single volume table. Table 3 Senate 1 3