Adaptive fuzzy inference neural network作者: Highlights: • 摘要 An adaptive fuzzy inference neural network (AFINN) is proposed in this paper. It has self-construction ability, parameter estimation ability and rule extraction ability. The structure of AFINN is formed by the following four phases: ...
John LygourasSpringer Berlin HeidelbergJahankani, P., Kodogiannis, V., Lygouras, J.: Adaptive fuzzy inference neural network system for EEG signal classification. In: Jain, L.C., Lim, C. P. (eds.) Handbook on Decision Making. ISRL vol. 4, pp. 453–471. Springer, Heidelberg (2010...
The architecture of the neural network consists of the input vector, one hidden layer and output layer. Bayesian regularization is employed to obtain the effective number of neurons in the hidden layer. The input variables and target of the adaptive neuro-fuzzy inference system are the same as ...
For simplicity, let us take a type-0 fuzzy system. The complete neural network representing the fuzzy inference system is shown in Fig. 12.26. Let us very quickly re-visit the step-by-step working of the fuzzy inference system and re-formulate the problem in terms of a neural network. ...
Asian Network for Scientific InformationJournal of Environmental Science & TechnologyMpallas L, Tzimopoulos C, Evangelides C (2011) Comparison between Neural Networks and Adaptive Neuro-fuzzy Inference System in Modeling Lake Kerkini Water Level Fluctuation Lake Manegement using Artificial Intelligence. J...
ANFIS uses the neural network training parameters to tune the parameters of the fuzzy inference system. The features that make ANFIS a commendable technique for achieving goals is: i. It defines the behaviour of a complex problem/system by refining the IF-ELSE rule. ii. It is easy to ...
The main objective of this study is the development of the adaptive neuro-fuzzy inference system (ANFIS) and an artificial neural network (ANN) for predicting the adsorption capacity in different operating conditions for different materials. Both models take into account the adsorbent type, adsorbent...
This paper presents a novel self-organizing neural fuzzy system, named Self-Adaptive Fuzzy Inference Network (SaFIN), to address the aforementioned deficiencies. The proposed SaFIN model employs a new clustering technique referred to as categorical learning-induced partitioning (CLIP), which draws ...
论述了基于减法聚类的自适应模糊神经网络(ANFIS:adaptiveneuro-fuzzyinferencesystem)的短期负荷预测方法。 更多例句>> 补充资料:共振理论 研究摄动量级数解中共振奇点的理论。这种共振奇点的问题与一般力学中的共振现象有些类似,因此亦称为共振问题。 对于自然天体(大行星、小行星等),在摄动量级数解的周期项振幅中会出...
1. Based on the adaptive neural network,the adaptive neuro-fuzzy inference system extracted the fuzzy control rules and enhanced the adaptability to different roads. 基于自适应神经网络的神经网络模糊推理系统ANFIS的自学习和非线性逼近能力,提取模糊控制规则,增强了控制器对于不同路面的适应能力。