neural network model based control
Neural Network Based Model Predictive Control of Batch Extractive Distillation Process for Improving Purity of Acetone
... of neural network model-based controllers: the neural network direct inverse model control (NNDIC) and neural network based model ...
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Application in Composite Machine Using RBF Neural Network Based on PID Control
... PID control algorithm in the proportion, integral, differential coefficient in the design stage set after week constant, do not have the ability to learn, self ...poor control performance needs to be ...
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Underwater Glider Motion Control Based on Neural Network
... Data preprocessing refers to some processing of data before the main processing. It is necessary to eliminate the impact of a large lag system. Two sets of data were taken from the water glider adjustment test. According ...
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Modelling and control of fouling in submerged membrane bioreactor using neural network internal model control
... inverse model were obtained by inverting the neural network model using Newtons method and solving numerically the control action by directly trained inverse model neural ...
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Control tracking model of the graduate quality based on neural network theory
... quality control system, the third party evaluation to complete the teaching quality from the principal, process and result on careful analysis of data, and find the reasons to consider feedback, from the method of ...
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Online Full Text
... user based on the input values. To make the neural networks to behave like a physical system or predict or control the training set used in the training cycle shall consist of enough information ...
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Research on Financial Early Warning of Listed Corporation Based on SOM Fusion BP Neural Network
... and control of risk in ...of model put forward in current literature have many disadvantages, for example, the inability to show the matching of modeling ...
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Research on Early Warning Model of College Students' Psychological Crisis Based on Genetic BP Neural Network
... emotional control, personality and personal needs, emphasizing the importance of environment, collective life and social requirements for individual mental health, ...indicators based on emotions, learning, ...
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CONTROL OF NONLINEAR PROCESS USING NEURAL NETWORK BASED MODEL PREDICTIVE CONTROL
... a control time series u is chosen. Using a model we look at what would happen if this series of control signals is used: the plant output y ˆ can be predicted, then next a cost function (1) is used ...
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Performance analysis of neural network based control of hypnosis and analgesia during anesthesia by employing a pharmacokinetic pharmacodynamic model
... Internal Model Control (IMC) philosophy relies on the Internal Model Principle, which states that control can be achieved only if the control system encapsulates, either implicitly or ...
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NEURO MODELING AND CONTROL STRATEGIES FOR A pH PROCESS
... to model its dynamics using conventional ...of neural networks in modeling and control of non-linear dynamics systems has been recognized since last decade [5], and research in this area has been ...
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Implementation of neural network based inverse model control strategies on an exothermic reactor
... the neural networks by switching the training between the train and test data set, hence covering a higher magnitude range with varying ...trained neural network inverse model in this IMC ...
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Design of Model Predictive Control based Direct Neural Controller for Surge Tank Application
... predictive control based direct neural controllers represent another class of computer application in the field of non-linear ...or neural networks can be used as parameterized nonlinear ...a ...
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Improving of Crystal Size Distribution Control Based on Neural Network Based Hybrid Model for Purified Terephthalic Acid Batch Crystallizer
... feedforward neural network with the structure consisting of 4 nodes in the input layer and 2nodes at the output layer as shown in ...feedforward neural network models are explained in research ...
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Control of a Double -Effect Evaporator using Neural Network Model Predictive Controller
... recurrent neural network-based nonlinear model predictive control (NMPC) scheme in parallel with PI control ...simulation model of an industrial-scale five-stage ...the ...
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Hybrid Neural Network Controller Design for a Batch Reactor to Produce Methyl Methacrylate
... effective control technique to control the ...the neural network forward model to predict the dynamics behavior and the neural network inverse model to ...
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Performance Prediction of Refrigeration Systems by Artificial Neural Network
... artificial neural network based simulation techniques are implemented for the performance prediction of refrigeration ...the model by Artificial Neural Network Model ...
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ASSOCIATION RULE MINING BASED VIDEO CLASSIFIER WITH LATE ACCEPTANCE HILL CLIMBING APPROACH
... From the table 3, it can be seen that the single network may cause over-fitting problem which make the prediction ability decline. By comparison, ECPSO-NNE, which need only simple design process, has obtained ...
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Grapheme-to-Phoneme Conversion with Convolutional Neural Networks
... words based on their written ...convolutional neural networks (CNN) for G2P conversion. We propose a novel CNN-based sequence-to-sequence (seq2seq) architecture for G2P ...a model that ...
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Research on Building Energy Consumption Prediction Method Based on LSTM Network
... method based on building energy consumption data set to correlate building energy consumption with building parameters by regression ...Artificial Neural Network (ANN) is a hotspot of AI ...the ...
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