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- fuzzification functor 模糊化函数因子
- Functor returns the marked price as output. 仿函数就返回标签价格作为输出。
- How to use local type as functor? 似乎不能接受局部类型。难道没有变通方法？
- Throws : If the hash functor throws. 抛出:如果散列函数抛出。
- Throws : If the comparison functor throws. 抛出:如果比较函数抛出。
- Method uses two constructs provided by the Apache Functor library. 方法使用由Apache Functor库提供的两个结构。
- Functor takes a binary function and two unary functions as input. 仿函数取一个二元函数和两个一元函数作为输入。
- You used this functor twice for binary composition in Listing 4. 在清单4中对二元合成使用这个仿函数两次。
- Various ways of fuzzification and the reasons for their choice are discussed very briefly in Section 2. 第2节非常简要地讨论了模糊化的各种方式及选择这些方式的原因。
- The proof shows that any functor which is a left adjoint is right exact. 该证明指出，任一函子，如果是一个左伴随，就右正合。
- A function or functor, as usual, may be attached to the symbol table. 通常，可以将一个函数或仿函数附加至符号表。
- The issue of input and output parameter fuzzification of FNN is also discussed in this paper. 本文为旋转机械故障诊断专家系统提供了一个易于实现的框架结构。
- While,its influence degree on ecological environment is very complicated,and with characteristics of randomicity and fuzzification. 其对生态环境的影响程度极其复杂,并且具有随机性和模糊性。
- It explores a new method of fuzzification and defuzzification that subdues the information loss in the classification of accurate values. 控制器采用了一种新的模糊化和去模糊方法，它克服了通常的模糊化方法中由于把精确量分等级而带来的信息损失。
- Effective fuzzy logic control is designed to do the input fuzzification，fuzzy reasoning rule base，output defuzzification. 根据规则库设计神经网络结构，简化网络结构和参数；
- The initial centers and widths of membership functions of the fuzzification layer are decided based on the golden partition method. 利用黄金分割法确定模糊化层隶属度函数的初始中心和宽度；
- The discussion from here forward will incorporate examples based on the Apache Commons Functor library. 从这以后的讨论将结合基于Apache Commons Functor库的例子。
- Data Processor is designed to ensure the data immunity through the fuzzification of data using the fuzzy threshold value. 数据处理器是为更好地解决数据的抗噪能力，在系统中用模糊阈值对测量数据进行模糊化，保证系统数据的抗扰能力；
- Functor passing in the outcome of the previous evaluation as parameter to this one. 仿函数,然后用前一个计算的输出作为参数计算。
- And the feature fusion coefficients can not only improve the discrimination of the system, but also amend the fuzzification of the classifier system. 在此基础上，决策融合系数的加入不但可以提高系统的识别率，而且有效降低系统分类、识别决策的模糊性。
