Dynamic System Identification Using a Recurrent Compensatory Fuzzy .
. Identification Using a Recurrent Compensatory Fuzzy Neural Network . Abstract: This study presents a recurrent compensatory fuzzy neural network (RCFNN) for .　->

Artificial neural network - Wikipedia, the free encyclopedia
A recurrent fuzzy cellular neural network system with automatic structure and template learning . neural system in the form of a recurrent fuzzy neural .　->

Welcome to IEEE Xplore 2.0: A Block-Diagonal Recurrent Fuzzy Neural .
A Block-Diagonal Recurrent Fuzzy Neural Network for Dynamic System . A recurrent fuzzy neural network with internal feedback is suggested in this paper. .　->

A Novel Recurrent Interval Type-2 Fuzzy Neural Network for Nonlinear .
A Novel Recurrent Interval Type-2 Fuzzy Neural. Network for Nonlinear . Figure 2: Diagram of MISO recurrent type-2 fuzzy neural network with. AFMFs (RT2FNN-A) .　->

Recurrent Neural Networks: Design and Applications (The Crc Press .
Amazon.com: Recurrent Neural Networks: Design and Applications (The Crc Press International Series on Computational . fuzzy finite state automata, .　->

Estimation of the Dynamic Spinal Forces Using a Recurrent Fuzzy Neural .
A recurrent fuzzy neural network (RFNN) . tions are added, it becomes a recurrent fuzzy neural network. 1083-4419/$25.00 ? 2007 IEEE .　->

A Fuzzy Elman Neural Network
Abstract — A fuzzy Elman neural network (FENN) is proposed to . discrete fuzzy rules and the structure of recurrent networks. With preset human knowledge, .　->

TRAINING AND EXTRACTION OF FUZZY FINITE STATE AUTOMATA IN RECURRENT .
We present a machine learning approach for the extraction of fuzzy finite-state automata (FFAs) from recurrent neural networks. After successful training on strings .　->

Recurrent Fuzzy Neural Networks for Nonlinear System Identification
Recurrent fuzzy neural networks for nonlinear system identi?cation. Wen Yu, Xiaoou Li . interest in using recurrent fuzzy neural networks (RFNN) has .　->