neural networks based control
Auto control of pumping operations in sewerage systems by rule based fuzzy neural networks
... water level gauging stations that belong to two sub-drainage systems. The learning target of the RNN model was the wa- ter level observations of YC10. To obtain 5- to 20-min-ahead water level predictions, this study ...
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Neural Networks in power system operation and control
... point, neural based controllers know its exact location and try to move the system to that ...A neural-based approach enabling to assess the wind energy potential has also been proposed in the ...
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Stable Adaptive Neural Control of a Robot Arm
... adaptive control with recurrent neural networks (RNN) is presented for square multivari- able non-linear plants with unknown ...The control scheme is made of an adaptive instantaneous ...
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Application of Artificial Neural Networks Based Monte Carlo Simulation in the Expert System Design and Control of Crude Oil Distillation Column of a Nigerian Refinery
... the neural networks model and artificial neural networks based Monte Carlo ...ANNBMC networks for the de- sign of CODC while Table 2(a) and Table 2(b) show the results obtained ...
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Intelligent control using generalizing case based reasoning with neural networks
... The trained gate network selects an expert if the desired result lies within one of the expert's regions of expertise, otherwise it selects case-based reasoning to generate the hybrid al[r] ...
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Design optimization for the two stage bivariate pattern recognition scheme
... Artificial Neural Networks (ANN) now is widely used in many ...quality control engineering field, it becomes well known as many researchers today has utilize the ANN in their research ...process ...
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Abstract: This paper presents a new control methods based on adaptive Neuro-Fuzzy damping controller and
... new control methods based on adaptive Neuro-Fuzzy damping controller and adaptive Artificial Neural Networks damping controller techniques to control a Unified Power Flow controller ...
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Artificial neural networks as models of stimulus control
... of neural networks have the properties of the multi-layer ...behaviour based on the popular Hopfield model (or derived models), since they will not be able to reproduce any of the particular ...
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Artificial Intelligence Technique for Speech Recognition Based on Neural Networks
... Neural network estimation was carried out as follows. There have been several runs of the system (here are the results for 20 runs). In each run was chosen as the test case with the worst result and calculated ...
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Sensorless Speed Control of Double Star Induction Machine With Five Level DTC Exploiting Neural Network and Extended Kalman Filter
... DTC control based on neural networks using Extended Kalman Filter (EKF) applied to Double Star Induction Machine ...DTC control brings a very interesting solution to the problems of ...
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Neuro PID Speed Controller for Permanent Magnet Synchronous Motor
... many control strategies have been presented since 1990’s one of these methods is by using Artificial Intelligent (Artificial Neural network (ANNs), Fuzzy Logic Control (FLC) techniques ...controller ...
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Vector Control of a Grid-Connected Rectifier/Inverter Using an Artificial Neural Network
... a neural network to control a grid-connected ...The neural network implements a dynamic programming (DP) algorithm and is trained using backpropagation through ...DP-based neural ...
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Control based on neural networks to a multivariable hydraulic system
... the control voltages to the actuators, because they improve the performance of the system by controlling the amount of power delivered to the load without considerable loss of power or heating of the ...
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A Short Term Traffic Flow Prediction Based on Recurrent Neural Networks for Road Transportation Control in ITS
... model based on support vectors representations, is being introduced by Castro-Neto et ...convolutional neural networks help us to extract features in depth ...
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Artificial Neural Networks Application in Duplex/triplex Elevator Group Control System
... in neural netw orks m odule. In this program, feedforward neural network is used to allocate the calls to the best cars during day period by means o f weight ...
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Time Series Classification with Artificial Neural Networks
... artificial neural networks can tackle more complex data, but they are more difficult to train and more prone to ...a neural network appropriately learns the data it is trained on but cannot ...
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Neural Networks - Free Computer, Programming, Mathematics, Technical Books, Lecture Notes and Tutorials
... we control this robot with a neural network? Figure 22 shows how a neural network can be embedded in the ...the neural network: the collision sensors to nodes in the collision layer, the ...
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Vibrational control of chaos in artificial neural networks
... Stabilization of chaos using the OGY method has been documented for discrete time neural networks [24]. OGY relies on the dynamical systems theorem stating that there are an infinite number of periodic ...
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An Introduction to Neural Networks - Free Computer, Programming, Mathematics, Technical Books, Lecture Notes and Tutorials
... target neural output and its actual output and then multiply this difference by a constant learning rate (it is not important that the reader knows what these terms mean just ...
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Deep convolutional neural networks capabilities for
... for the detection of MCs based on the use of deep convolutional neural networks (DCNNs).. We.[r] ...
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