这正是逻辑谬论“肯定后件”的典型例子。
This is a clear example of the logical fallacy called "affirming the consequent".
系统网络中含14个待定的前件和后件参数。
There are 14 undetermined parameters named predictor and consequent.
给出了模糊规则后件参数的自适应学习方法。
An on-line adaptive tuning algorithm for the consequent parameters in the fuzzy rules is also designed.
采用T - S模型，由后件网络动态调整模糊规则，提高控制系统的适应性。
Moreover, T-S model is used to adjust the dynamic fuzzy rules by the latter neural network, which can improve the adaptability of the control system.
设计一个算法挖掘这样的有趣规刚，它的前件和后件分别属于不同的概念类，称这种规则为类间桥。
This paper designs an algorithm for mining a kind of as- sociation rules that the antecedent and action of such a rule belong to different conceptual classes, referred to class bridges.
假言推理是前提中有一个为假言命题，并且根据假言命题前件与后件之间的关系而推出结论的推理。
Hypothetical reasoning is a reasoning that premise has a proposition and bases on the relation of proposition of protasis and apodosis to made a conclusion.
当模糊产生式规则应用在近似推理过程中时，前件相同而后件不同的模糊规则之间往往存在交互影响。
When fuzzy production rules are used in approximate reasoning, there are interaction influences on rules that have the same consequent but different antecedent.
然后，采用最小二乘法求得T-S模糊模型的规则后件参数，从而建立起非线性系统的T-S模糊模型。
Secondly, the consequent parameters of rules are calculated by the least squares estimate. Thus, the T-S fuzzy model is set up.
对非线性系统建立T-S模糊模型，并用正交最小二乘法（OLS）对模糊规则的后件参数进行辨识。
T S fuzzy model is constructed for nonlinear system in this paper, and orthogonal least squares (OLS) method is used to identify the parameters of fuzzy ruler consequents.
该结构接受连续值的状态输入，产生连续值的控制输出：并根据再励信号实时调节模糊控制器的后件参数。
The FAL system receives continuous states and generates continuous actions. The method is also used to tune the conclusion part of the FIS online.
理论分析说明这种模糊规则后件参数学习算法是收敛的、所建模糊模型能够以要求的精度逼近已知的实验数据。
The learning algorithm and the characteristics of the fuzzy rules model which can approximate the experiment data are shown to converge to any arbitrary accuracy by the theoretical analysis.
模糊模型的前件和后件参数分别采用模糊C均值聚类（FCM）和正交最小二乘法（OLS）进行离线或在线辨识。
The T-S fuzzy model's parameters are identified by methods of fuzzy C mean(FCM) and orthogonal least-squares(OLS) online or otherwise.
模糊模型的前件和后件参数分别采用模糊C均值聚类（FCM）和正交最小二乘法（OLS）进行离线或在线辨识。
The T-S fuzzy model's parameters are identified by methods of fuzzy C mean(FCM) and orthogonal least-squares(OLS) online or otherwise.
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