通过以全体样本对全体类别加权广义欧氏权距离平方和最小为目标函数，建立了模糊聚类、识别与优选决策统一的理论与循环迭代模型。
With the minimum square sum of weighted Euclidean distances as the objective function, the unified theory and cyclical iteration model of fuzzy cluster, recognition and optimum decision are founded.
使用模糊测度作为神经网络的目标函数可以有效地描述像素类别的不确定性，从而通过使其最小实现图像分类优化。
Use fuzziness measures as objective function of neural network can depict uncertainty of pixels' category validly so as to optimize image classification by minimizing the objective function.
针对深基坑支护方案的特点，应用模糊数学理论及最小二乘法准则构造目标函数，建立了一种适用于深基坑支护方案综合评价的模糊优化理论模型。
Based on the characteristics of support scheme for deep foundation pit, the objective function is constructed with theory of fuzzy mathematics and least square method.
针对深基坑支护方案的特点，应用模糊数学理论及最小二乘法准则构造目标函数，建立了一种适用于深基坑支护方案综合评价的模糊优化理论模型。
Based on the characteristics of support scheme for deep foundation pit, the objective function is constructed with theory of fuzzy mathematics and least square method.
应用推荐