A fuzzy neural network architecture for fuzzy control and classification

2002 ◽  
Author(s):  
B. Chen ◽  
L.L. Hoberock
Keyword(s):  
Neural Network ◽  
Fuzzy Control ◽  
Network Architecture ◽  
Fuzzy Neural Network ◽  
Neural Network Architecture ◽  
Fuzzy Neural

scholarly journals Deep neo-fuzzy neural network and its learning

2019 ◽  
Vol 1 (92) ◽  
pp. 3-8
Author(s):  
E.V. Bodyansky ◽  
Т.Е. Antonenko
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Network Architecture ◽  
Fuzzy Neural Network ◽  
Deep Neural Networks ◽  
Neural Network Architecture ◽  
The Neural Network ◽  
Fuzzy Neural ◽  
Main Component ◽  
Triangular Membership Function

Optimizing the learning speedof deep neural networks is an extremely important issue. Modern approaches focus on the use of neural networksbased on the Rosenblatt perceptron. But the results obtained are not satisfactory for industrial and scientific needs inthe context of the speed of learning neural networks. Also, this approach stumbles upon the problems of a vanishingand exploding gradient. To solve the problem, the paper proposed using a neo-fuzzy neuron, whose properties arebased on the F-transform. The article discusses the use of neo-fuzzy neuron as the main component of the neuralnetwork. The architecture of a deep neo-fuzzy neural network is shown, as well as a backpropagation algorithmfor this architecture with a triangular membership function for neo-fuzzy neuron. The main advantages of usingneo-fuzzy neuron as the main component of the neural network are given. The article describes the properties of aneo-fuzzy neuron that addresses the issues of improving speed and vanishing or exploding gradient. The proposedneo-fuzzy deep neural network architecture is compared with standard deep networks based on the Rosenblattperceptron.

Research on Intelligent Variable Frequency of Air-Conditioner Control System Based on Fuzzy Control

2011 ◽  
Vol 110-116 ◽  
pp. 4076-4084
Author(s):  
Hai Cun Du
Keyword(s):  
Neural Network ◽  
Control System ◽  
Fuzzy Control ◽  
Fuzzy Neural Network ◽  
Air Conditioner ◽  
Neural Network Controller ◽  
The Neural Network ◽  
Network Controller ◽  
Fuzzy Neural ◽  
Fuzzy Control Strategy

In this paper, we determine the fuzzy control strategy of inverter air conditioner, the fuzzy control model structure, the neural network and fuzzy control technology, structural design of the fuzzy neural network controller as well as the neural network predictor FNNC NNP. Simulation results show that the fuzzy neural network controller can control the accuracy greatly improved the compressor, and the control system has strong adaptability to achieve a truly intelligent; model of the controller design and implementation of technology are mainly from the practical point of view, which is practical and feasible.

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