In this paper, two neural network structures are proposed as a means of performing fuzzy logic inference. In the first structure, the knowledge of the rule (i.e., the antecedent and consequent clauses) are explicitly encoded in the weights of the net, whereas the second network in trained ...
Neural Networks and Fuzzy Logic - Rao, Rao, et al. - 1993 () Citation Context ...The actual response of the network is subtracted from the desired target response to produce the error signal. Weights are adjusted so the actual network response moves closer to the desired response =-=[8]...
The authors present an advanced control concept for microrobotic systems, which is based on the combination of a neural network approach for the adaptation of manipulation parameters and a fuzzy logic approach for the correction of parameter values given to a conventional controller. This multilevel ...
From the simulation and experimental results, the fuzzy logic controller can deliver more power than the neural network controller and can give more power than other different methods in literature. 展开 关键词: fuzzy logic neural network photovoltaic MPPT simulation modelling ...
In Chapter 9 (this volume), Pedrycz, Kandel and Zhang present an extensive survey of Neurofuzzy systems. The authors give a clear exposition of the complementary technologies offered by fuzzy logic and neural networks. The basic functions of a "fuzzy neuron" are developed and learning algorithms...
Expert system, fuzzy logic, and neural network applications in power electronics and motion control Artificial intelligence (AI) tools, such as expert systems, fuzzy logic, and neural networks are expected to usher a new era in power electronics and motio... Bose, B.K - 《Proceedings of the...
A feedforward neural network received the machine terminal signals at the input and calculated flux, torque and unit vectors at the output, which were then used in the control of a direct vector-controlled drive system. The application of fuzzy logic to the estimation of power electronic ...
This paper discusses a congestion avoidance and control scheme based on the application of fuzzy logic theory and its neural network implementation. It is mainly concerned with high-speed wide area networks where propagation delays can have significant effects on closed-loop traffic control. In order...