climbing method造句

• By simulating the growth process in living nature , the structure of simple genetic algorithm was improved by growth operator which was realized by the hill climbing method
  在具有强烈非线性的连续搅拌釜式反应器模型上进行仿真试验。
• An axial direction line multi - sensors placed method is presented . in the process of machine learning , use genetic algorithm to fit the curve of sensor ' s output . to improve the convergence speed of genetic algorithm , hill climbing method is joined with
  对示教过程中进行曲线拟和所用的遗传算法进行了一定的研究，为了解决遗传算法在接近收敛点时收敛速度慢的缺点，使用爬山法对其进行改进。
• The reason why we integrate them is that k - means algorithm is a mountain climbing method , which is easy convergent to local extremum , and sensitive to the original condition , but its convergent speed is relatively fast , and that genetic algorithm is a random searching method , which can find the whole extremum in a rather big probability , and non - sensitive to the original condition , but its convergent speed relatively slow
  之所以将：二者结合在一起，是回为k一均值算法是一种爬山法，容易收敛到冈部极小值，对初始条件较敏感，但收敛速度较快，而遗传算法是卞dl随机搜索算法，能够以较大概率找到全局最忧解，且对们始条件个敏感，但收敛速度较慢。