Decentralized Adaptive Fault-Tolerant Cooperative Control for Multiple UAVs with Input Saturation and State Constraints by Minrui Fu, Yiwei Xu, Ziquan Yu, Youmin Zhang

“…Moreover, a recurrent wavelet fuzzy neural network (RWFNN) is used to compensate for the estimation errors of DO. …”
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Optimization Design of Computer Network Reliability Based on Genetic Algorithms by L.J. Liu

“…It appears genetic algorithms, neural network, fuzzy neural network intelligent algorithm for solving this problem provides a new ideas and approaches. …”
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SAFIN(FRIE)++ : type-I online mandami fuzzy inference system with application in option trading by Vo Duy Tung

“…Fuzzy neural networks are often used to handle dynamic data stream in the financial market. …”
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Research on prediction of traffic flow based on GEBF-OSFNN by Badjate, Harsh Vijaykumar

“…In this project, chaos theory, and Generalised Ellipsoidal Basis Function Based Online Self-Constructing Fuzzy Neural Network (GEBF-OSFNN) is adopted to predict short-term traffic flow. …”
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Research on a Novel Parallel Engraving Machine and its Key Technologies by Zhang Shi-hui, Kong Ling-fu

“…The proposed algorithm for tool path planning on curved surface can be applied to arbitrary spacial curved surface in theory, control technology for engraving force based on fuzzy neural network(FNN) has well adaptability to the changing environment. …”
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Dynamically Signal Timing Optimization of Isolated Intersection Traffic Lights Based on a Dual-Layer Framework by Junqi Shao, Ke Zhang, Anyou Wang, Shen Li

“…In the second layer, we propose a method that uses a fuzzy neural network to learn the correspondence between queue lengths and signal timings. …”
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Methods of organizing resources sources of radio electronic intelligence in organization and exercise by Сергій Станіславович Гаценко, Олег Володимирович Костенко, Віктор Петрович Кузьменко, Василь Михайлович Мазуренко

“…The functioning of the dependence of the rank of sources of intelligence on its intelligence value and the radio-electronic environment that is associated with them is realized by a fuzzy neural network. The result of the ranking procedure is the introduction on a variety of sources of intelligence information of the planned relationship order. …”
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Fuzzy Multiple Hidden Layer Neural Sliding Mode Control of Active Power Filter With Multiple Feedback Loop by Jie Zhuo, Cuicui An, Juntao Fei

“…At the same time, the fuzzy neural network can eliminate chattering, improve the control accuracy and reduce the current distortion rate of APF. …”
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An Improved Adaptive Tracking Controller of Permanent Magnet Synchronous Motor by Tat-Bao-Thien Nguyen, Teh-Lu Liao, Hang-Hong Kuo, Jun-Juh Yan

“…The fuzzy neural controller with online parameter tuning is used to estimate the unknown nonlinear models and construct linearization feedback control law, while the compensatory controller is employed to attenuate the estimation error effects of the fuzzy neural network and ensure the robustness of the controlled system. …”
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The problem of modelling a trunk air route network by Tatiana Tseytlina, Victor Balashov, Andrey Smirnov

“…In this work we developed a fuzzy neural network-based model of the conditions for the existence of air routes, i.e. the rules underlying the emergence, existence and elimination of air routes (direct links between cities). …”
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Research on a Novel Parallel Engraving Machine and its Key Technologies by Kong Ling-fu, Zhang Shi-hui

“…The proposed algorithm for tool path planning on curved surface can be applied to arbitrary spacial curved surface in theory, control technology for engraving force based on fuzzy neural network(FNN) has well adaptability to the changing environment. …”
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FASCOM-stock : using a fuzzy associative conjunctive map in option trading by Chua, Wei Kar.

“…In this project, the structure of a novel fuzzy neural network architecture FASCOM, short for Fuzzy Associative Cortical Maps, is being studied. …”
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Optimization of Wear Behavior of DLC Coatings Through Optimization of Deposition Conditions by Ming-Der JEAN, Cheng-Wu LIU, Pao-Hua YANG, Wen-Hsien HO

“…Based on genetic algorithm (GA) and fuzzy neural network, a new method for the study of sputtering process is proposed in this paper. …”
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Adaptive speed control method for electromagnetic direct drive vehicle robot driver based on fuzzy logic by Gang Chen, Weigong Zhang, Xu Li, Bing Yu

“…Performances of the proposed method, proportional–integral–derivative, and fuzzy neural network are compared and analyzed. Experimental results demonstrate that the proposed control method can accurately track the target speed, and it can inhabit the change of speed caused by interference under different test conditions, and it has small mileage deviation, which can meet the requirements of national vehicle test standards.…”
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A Network Traffic Prediction Model Based on Quantum-Behaved Particle Swarm Optimization Algorithm and Fuzzy Wavelet Neural Network by Kun Zhang, Zhao Hu, Xiao-Ting Gan, Jian-Bo Fang

“…Finally, the QPSO-FWNN could be used in prediction of network traffic simulation successfully and evaluate the performance of different prediction models such as BP neural network, RBF neural network, fuzzy neural network, and FWNN-GA neural network. Simulation results show that QPSO-FWNN has a better precision and stability in calculation. …”
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BDD, BNN, and FPGA on Fuzzy Techniques for Rapid System Analysis by Rahul Dixit, Harpreet Singh

“…To further this study, Boolean Neural Net techniques (BNN) were employed to bridge the Fuzzy Neural Network (FNN) to BDD representations of the data. …”
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Ground clutter suppression method based on FNN for dual-polarisation weather radar by Hai Li, Jiawei Ren, Jungong Han, Yi Fan

“…Here, a ground clutter suppression method for dual-polarisation weather radar based on fuzzy neural network (FNN) is proposed. In the method, the FNN is trained with the ground clutter data acquired by the dual-polarisation weather radar in the clear sky mode. …”
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Deep neural network with fuzzy inputs for portfolio management by Lim, Alston Khian Heng

“…This dissertation explores an Interpretable Fuzzy Neural Network that allows us to better understand the learning process that takes place within the black box through fuzzy logic in the intelligent system. …”
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Traffic modeling and identification using a self-adaptive fuzzy inference network by Tung, Sau Wai, Quek, Chai, Guan, Cuntai

“…By applying a hybrid fuzzy neural network in the traffic modeling task, SaFIN is able to capitalize on the functionalities of both the fuzzy system and the neural network to (1) provide meaningful and intuitive insights to the traffic data, and (2) demonstrate excellent modeling and identification capabilities for highly nonlinear traffic flow conditions.…”
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Model Predictive Controlled IM Drive based on IT2FNN Controller by Demir Ridvan, Yildiz Recep, Gani Ahmet

“…In this paper, the predictive torque control (PTC) based induction motor (IM) drive using an interval type-2 fuzzy neural network (IT2FNN) controller in the speed control loop is designed and tested in simulations. …”
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