neural network based systems
Lyapunov Based Dynamic Neural Network for Adaptive Control of Complex Systems
... the neural adaptive control exist which we quote: direct adaptive neural control, indirect adaptive neuronal control, adaptive neural internal model control, adaptive depth control based on ...
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Fuzzy inference systems implemented on neural architectures for motor fault detection and diagnosis
... and neural networks, a better understanding of the heuristics underlying the motor fault de- tection/diagnosis process and successful fault detection/diagnosis schemes can be ...two neural fuzzy (NN/FZ) ...
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Stabilization of Unknown Nonlinear Discrete Time Delay Systems Based on Neural Network
... Artificial neural networks (ANNs) emerged as powerful learning technique to perform complex tasks in highly nonlinear dynamic ...This network represents a function of interest by using members of family of ...
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Neural-network based vector control of VSCHVDC transmission systems
... the neural network controller shows a fast response speed with low current and voltage ...the neural network vector controller, the standard vector controller shows higher oscillations ...the ...
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Synchronized control with neuro agents for leader follower based multiple robotic manipulators
... leader-follower based synchronization error, RBF NN based follower manipulators’ modeling error compensator and RBF NN based leader acceleration ...The neural network weighting ...
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Improving of Crystal Size Distribution Control Based on Neural Network Based Hybrid Model for Purified Terephthalic Acid Batch Crystallizer
... nonlinear systems like the crystallization process, one of the most effective techniques to handle such a situation was an artificial neural ...of neural network was its universal character in ...
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The Most General Intelligent Architectures of the Hybrid Neuro-Fuzzy Models
... Hybrid neural networks – based systems, are based on an architecture which integrates the neural networks and the fuzzy logic based system in the form of parallel ...the ...
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Uncalibrated visual servo control with neural network
... (Image Based Visual Servoing) based on a neural network for solving nonlinear (dynamic and kinematic) systems, w hich takes control over the robot’s joints in order to position the end ...
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Image Description Using Deep Neural Network
... Recurrent neural networks (RNN) are quite popular for text generation, and so many researchers use them in this task, albeit in different settings Karpathy and Fei-Fei[3], Vinyals et al [4] are influenced by ...
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Artificial Neural Network for LiDAL Systems
... tem has eight transceiver units placed in the room ceiling as can be seen in Fig. 1. Each transceiver unit covers a circular optical detection zone with a radius of 1.25m. The transceiver units are spaced by 2m [33]. In ...
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Neural Network based Sensor Fault Detection for Flight Control Systems
... control systems. Another Kalman filter based approach, the Generalized Likelihood Ratio (GLR) was proposed by Paul ...Observer based sensor and actuator fault detection in small autonomous ...
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Local System Voting Feature for Machine Translation System Combination
... confusion network system combination approach with an additional model trained by a neural ...individual systems with low sys- tem weights from having influence on the system combination output, ...
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Utilizing Monolingual Data in NMT for Similar Languages: Submission to Similar Language Translation Task
... three systems for Hindi → Nepali direction in which we have examined the performance of a Recursive Neural Network (RNN) based Neural Machine Translation (NMT) system, a semi-supervised ...
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Gaussian process based model predictive control : a thesis submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Engineering, School of Engineering and Advanced Technology, Massey University, New Zealand
... Data-driven models are constructed entirely from empirical data. An additional bene- fit in using this approach is that the empirical data may capture unknown and unmodelled dynamics of the system. One of the most ...
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A Deep Learning Based Approach to Transliteration
... and neural network ...more neural network ar- chitectures such as explore an ensemble of bidi- rectional encoder frameworks along with different types of cell units such as LSTM, vanilla RNN, ...
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Hybrid Power Systems Energy Controller Based on Neural Network and Fuzzy Logic
... reference variable to select from among the four PV pan- els. This training data set covers the different solar radia- tion and temperature conditions that could possibly take place. The training patterns were presented ...
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A control of wind energy transformation systems via neural network
... a neural network-based adaptive control strategy for variable-velocity variable pitch wind energy transformation systems is ...is based on neural network-based ...
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Neural Network based Intrusion Detection Systems
... monitor network and host activities including data flows and information accesses ...detection systems use policies to define certain events that, if detected will issue an alert [1,4, 12, 13, ...
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Neural Networks in Business Forecasting
... Artificial Neural Network ...by neural networks is trading and financial forecasting. Neural networks have been applied successfully to problems like derivative securities pricing and hedging, ...
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Teleoperation of SCARA with Neural Network Based Controller
... f neural network based controller fo r the teleoperation o f Selective Compliance Assembly Robot Arm ...is based on MATLAB/Simulink and Lab VIEW software ...r neural network ...
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