Nguyen HT. Neural networks and fuzzy logic. Technical Notes, University of Technology, Sydney, 1998.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...
This paper presents a review on application of Artificial Neural Network and Fuzzy Logic in process modeling and control. The intelligent control technique... S Reel,AK Goel - Springer Berlin Heidelberg 被引量: 2发表: 2011年 Early Detection and Classification of Paddy Diseases with Neural Networks...
We describe in this paper a hybrid method for adaptive model-based control of non-linear dynamic systems using Neural Networks, Fuzzy Logic and Fractal The... P Melin,O Castillo - 《Information Sciences》 被引量: 136发表: 2002年 A neural network approach for solving linear bilevel programming...
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 ...
This paper proposes two methods of maximum power point tracking using a fuzzy logic and a neural network controllers for photovoltaic systems. The two maximum power point tracking controllers receive solar radiation and photovoltaic cell temperature as inputs, and estimated the optimum duty cycle corres...
In this work, fuzzy logic and Elman neural network-based adaptive energy management strategies (EMS) in an HEV are designed and implemented. The input parameters to these EMS are torque demand, battery state of charge, and regenerative braking. The proposed strategy aims to maximise the fuel ...
In this paper, the fuzzy inference system combined with an expert system is applied to collision avoidance system. Especially, calculation method of the collision risk by using neural network is proposed. At first, the membership functions of DCPA and TCPA are determined on the basis of simulatio...
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 ...
The neural logic network(NLN) is a neural network model that combines the strength of both neural networks and expert systems. 神经逻辑网络(NLN)是一种神经网络与专家系统相结合的神经网络模型,本文探讨一种基于模糊神经逻辑网络的星图识别算法。补充...
Artificial intelligence (AI) tools, such as expert systems, fuzzy logic, and neural networks are expected to usher a new era in power electronics and motion control in the coming decades. Although these technologies have advanced significantly and have found wide applications, they have hardly touch...