[PDF] Top 20 Applications of neural networks to control systems
Has 10000 "Applications of neural networks to control systems" found on our website. Below are the top 20 most common "Applications of neural networks to control systems".
Applications of neural networks to control systems
... topology of the MLPs employed was ...range of the outputs of the neurons in the output layer is typically ...value of the weights and the biases associated with the neurons in the output ... See full document
202
A New Smith Predictor and Fuzzy RBF Neural Network Control for Wireless Networked Control Systems
... Many control techniques have been developed for systems with constant time delays [12], but variable time delays can be much more difficult to compensate ...types of network behaviors and ... See full document
6
Multivariate synthetic streamflow generation using a hybrid model based on artificial neural networks
... feedforward neural network. The structure of the model results from two components, the neural network (NN) deterministic component and a random component which is assumed to be normally ... See full document
14
Neural feedback linearization adaptive control for affine nonlinear systems based on neural network estimator
... extension of linear control techniques to nonlinear systems has been the development of nonlinear geometric ...design of controllers for a class of nonlinear ... See full document
17
A contribution to the use of Hopfield neural networks for paramater estimation
... applied to aircraft and motor vehicle ...study of the process itself, but very often for the design of a suitable control ...example of a patient undergoing general anesthesia, where a ... See full document
6
Neural networks based predictive control for thermal comfort and energy savings in public buildings
... unit of room C as the comparison unit, and 77%, in experiment 6, for the interior unit in room A and the 1st interior unit of room ...values of energy savings, if on one hand were expected because ... See full document
14
Genetic programming and bacterial algorithm for neural networks and fuzzy systems design
... aims to understand the modelling properties of the various Artificial Neural Networks (ANN) ...developed to improve their fitness for modelling and control ...B-spline ... See full document
6
Behavior Emergence in Autonomous Robot Control by Means of Feedforward and Recurrent Neural Networks
... range of 4.3–4.4 and they differ only in the order of few per ...MLP networks per- form slightly better, RBF networks are in the middle, while recurrent networks are a bit worse in ... See full document
6
ARTIFICIAL NEURAL NETWORKS - AN APPLICATION TO STOCK MARKET VOLATILITY
... financial applications, the return on an asset or portfolio acts as the dependent variable and the variance of the return represents the risk level of those ...issue of time series financial ... See full document
10
A Community Analysis of the IEEE IES Industrial Agents Technical Committee
... ties to information and knowledge ...scheduling of transportation ...development of IEC- 61499 and its applications particularly in power/energy related research including simulation, design ... See full document
22
Complex networks: The key to systems biology
... deal of the advances in physics and chemistry have stemmed from reductionist approaches where the subject of interest, such as an atom or particle, is systematically isolated from the rest of the ... See full document
11
Combining Artificial Neural Networks and GIS Fundamentals for Coastal Erosion Prediction Modeling
... complexities of coupled environmental and human systems across the space and time of fragile systems challenge new data-driven ...information systems (GIS) and artificial neural ... See full document
14
Application of multivariable control using artificial neural networks in a debutanizer distillation column
... objective to develop a control strategy based on neural identification of a mutivariable input- mutivariable output (MIMO) ...plant to control was simulated in software HYSYS as ... See full document
1
A REVIEW OF INTELLIGENT CONTROL SYSTEMS APPLIED TO THE INVERTED-PENDULUM PROBLEM
... Intelligent control provides a new area for solving control ...due to the integration of computers to generate intelligent and adaptive algorithms, or by a more human-like logic than ... See full document
47
Identification of the non-linear systems using internal recurrent neural networks
... utilization of neural networks took a distinct ampleness because of the following properties: distributed representation of information, capacity of generalization in case ... See full document
8
SELF TUNING CONTROLLERS FOR DAMPING LOW FREQUENCY OSCILLATIONS
... 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 ... See full document
8
Neural networks and its applications in multivariate calibration.
... NEURAL NETWORKS AND ITS APPLICATIONS IN MULTIVARIATE CALIBRATION. Neural Networks are a set of mathematical methods and computer programs designed to simulate the ... See full document
10
Electric Voltage Control as an Implementation of Neural Network Applications
... base of electric circuit theory and quasistationary electromagnetic field ...usefulness of computer realization ...possibility to receive periodical solution, which in our research we receive ... See full document
6
Combination of Neural Networks and Fuzzy Clustering Algorithm to Evalution Training Simulation-Based Training
... results of three simulations in various environments, including neural networks, fuzzy systems based on fuzzy clustering and neuro- fuzzy were ...the neural networks, fuzzy ... See full document
8
Using Genetic Algorithms in Secured Business Intelligence Mobile Applications
... Artificial neural networks are computational networks which simulate the networks of nerve cell (neurons), simulating the properties of the neurons and the interaction between ... See full document
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