Brightness Adjustment Algorithm of Intelligent Lamps in Wireless Network Based on Fuzzy Control
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Lei Liu | Guoqing Yu | Hongtao Ma | Zhiyong Meng | Z. Meng | Guoqing Yu | Hongtao Ma | Lei Liu
[1] Suhas N. Diggavi,et al. Wireless Network Information Flow , 2007, ArXiv.
[2] Brigitte Chebel-Morello,et al. Application of empirical mode decomposition and artificial neural network for automatic bearing fault diagnosis based on vibration signals , 2015 .
[3] Qi Huang,et al. An investigation of intelligent controllers based on fuzzy logic and artificial neural network for power system frequency maintenance , 2016 .
[4] Yuhua Zhang,et al. Intelligent HEV Fuzzy Logic Control Strategy Based on Identification and Prediction of Drive Cycle and Driving Trend , 2015 .
[5] Magdalene Marinaki,et al. Fuzzy control optimized by a Multi-Objective Differential Evolution algorithm for vibration suppression of smart structures , 2015 .
[6] Lijie Wang,et al. Adaptive Fuzzy Control of Nonlinear Systems With Unmodeled Dynamics and Input Saturation Using Small-Gain Approach , 2017, IEEE Transactions on Systems, Man, and Cybernetics: Systems.
[7] F. Angerosa,et al. Sensory Evaluation of Virgin Olive Oils by Artificial Neural Network Processing of Dynamic Head‐Space Gas Chromatographic Data , 1996 .
[8] Xiefu Jiang,et al. On sampled-data fuzzy control design approach for T-S model-based fuzzy systems by using discretization approach , 2015, Inf. Sci..
[9] Nikola Banić,et al. Smart light random memory sprays Retinex: a fast Retinex implementation for high-quality brightness adjustment and color correction. , 2015, Journal of the Optical Society of America. A, Optics, image science, and vision.
[10] Zhao Li,et al. A novel neural network aided fuzzy logic controller for a variable speed (VS) direct expansion (DX) air conditioning (A/C) system , 2015 .
[11] Z. Li. TENSION CONTROL SYSTEM DESIGN OF A FILAMENT WINDING STRUCTURE BASED ON FUZZY NEURAL NETWORK , 2014 .
[12] Oscar Castillo,et al. A new approach for dynamic fuzzy logic parameter tuning in Ant Colony Optimization and its application in fuzzy control of a mobile robot , 2015, Appl. Soft Comput..
[13] Aminaton Marto,et al. Ground vibration prediction in quarry blasting through an artificial neural network optimized by imperialist competitive algorithm , 2015, Bulletin of Engineering Geology and the Environment.
[14] Shen Yin,et al. Adaptive Fuzzy Control of Strict-Feedback Nonlinear Time-Delay Systems With Unmodeled Dynamics , 2016, IEEE Transactions on Cybernetics.
[15] Hong Yan Shan. Vehicle Height Control of Automotive Air Suspension System Using Fuzzy Neural Network Approach , 2015 .
[16] Feng Qian,et al. Adaptive Sampling for Surrogate Modelling with Artificial Neural Network and its Application in an Industrial Cracking Furnace , 2016 .
[17] Masoud Monjezi,et al. Blast-induced air and ground vibration prediction: a particle swarm optimization-based artificial neural network approach , 2015, Environmental Earth Sciences.
[18] J. Maran,et al. Comparison of response surface methodology and artificial neural network approach towards efficient ultrasound-assisted biodiesel production from muskmelon oil. , 2015, Ultrasonics sonochemistry.
[19] Wei Zhang,et al. A neuro-fuzzy decoupling approach for real-time drying room control in meat manufacturing , 2015, Expert Syst. Appl..
[20] Hak-Keung Lam,et al. Observer-Based Fuzzy Control for Nonlinear Networked Systems Under Unmeasurable Premise Variables , 2016, IEEE Transactions on Fuzzy Systems.