Self-Organizing Adaptive Network-Based Fuzzy Intelligent Controller (SOANFIC)

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A self-organizing adaptive fuzzy controller

There are two main parts in this paper. The first part presents a knowledge representation and reasoning scheme, called tree-searched neural networks (TNN). The TNN is based on a well-known intuitive knowledge representation (IKR) and can reduce the number of the processing nodes in the neural networks. The second part proposes a self-organizing adaptive fuzzy controller (SOAFC) based on the TN...

متن کامل

Neural Network-Based Self-organizing Fuzzy Controller for Transient Stability of Multimachine Power Systems

An efficient self-organizing neural fuzzy controller (SONFC) is designed to improve the transient stability of multimachine power systems. First, an artificial neural network (ANN)-based model is introduced for fuzzy logic control. The characteristic rules and their membership functions of fuzzy systems are represented as the processing nodes in the ANN model. With the excellent learning capabi...

متن کامل

An Adaptive Fuzzy Neural Network Based on Self-Organizing Map (SOM)

This chapter shows a new method of fuzzy network which can change the structure by the systems. This method is based on the self-organizing mapping (SOM) (Kohonen T. 1982), but this algorithm resolves the problem of the SOM which can’t change the number of the network nodes. Then, this new algorithm can change the number of fuzzy rules; it takes the experienced rules out of the necessary side f...

متن کامل

A Self-Organizing Neural Fuzzy Inference Network

A self-organizing neural network is proposed which is inherently a fuzzy inference system with the capability of learning fuzzy rules from data. The learning strategy consists of two phases: a self-organizing clustering to establish the structure of the network as well as the initial values of its parameters and a supervised learning phase for optimal adjustment of these parameters. After learn...

متن کامل

Enhanced Adaptive Self-organizing Fuzzy Sliding-mode Controller for Robotic Motion Control

This study developed an enhanced adaptive self-organizing fuzzy slidingmode controller (EASFSC) for robotic systems. Rather than using the output error and the error change of the system, the EASFSC uses a sliding surface and its differential as the input variables of a fuzzy logic controller (FLC) in a self-organizing fuzzy controller (SOFC) to generate a control input through fuzzy operation....

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: International Journal of Machine Learning and Computing

سال: 2012

ISSN: 2010-3700

DOI: 10.7763/ijmlc.2012.v2.254