| 1. | Constructing a fuzzy inference system based on improved rpcl algorithm
算法的模糊推理系统构建方法 |
| 2. | An adaptive network fuzzy inference system based on b - spline function
函数的自适应网络模糊推理系统 |
| 3. | Business market forecasting based on adaptive neural - fuzzy inference system
基于自适应神经模糊推理系统的企业市场预测 |
| 4. | Application of adaptive network - based fuzzy inference system in structural vibration active control
自适应神经网络模糊推理系统在结构振动主动控制中的研究 |
| 5. | Power load forecast based on principal component analysis and adaptive neuro - fuzzy inference system
基于主成分分析法和自适应神经模糊推理系统的电力负荷预测 |
| 6. | In this thesis , anfis ? adaptive network - based fuzzy inference system is applied to the control system
本文将自适应网络模糊推理系统- anfis运用于控制系统。 |
| 7. | So , the fuzzy control table is gotten by matlab software . fuzzy inference system toolbox for matlab also validates the veracity of table
为此，本文用matlab软件计算得到了模糊控制表，并在matlab软件的模糊推理系统工具箱中得到了验证。 |
| 8. | At last , a method that combines gray model gm ( 0 , n ) and adaptive neural fuzzy inference system ( anfis ) to set up parameter cost model is proposed
提出了一种结合灰色gm ( o ， n )系统模型和自适应神经一模糊推理系统( anfis )建立参数成本模型的建模方法。 |
| 9. | This anfis model combines the neural network adaptive capabilities and the fuzzy qualitative approach such that the soc estimation can be performed in an effective way
自适应模糊推理系统将神经网络的自适应特性和模糊推理结合起来，能够有效的估计电池的荷电状态。 |
| 10. | As a result from fuzzy inference surface analysis , loc can be supported by the fuzzy inference system and can recover human ' s general perception on judging congestion
通过分析模糊推理系统的推理曲面，验证了模糊推理系统的可行性，它能够较好地支持交通拥挤度这个概念。 |
