predictive neural network model
Control of a Double -Effect Evaporator using Neural Network Model Predictive Controller
... The Neural network based model predictive controller are designed to control the concentration of the Double Effect ...the Neural networks Model predictive controller has ...
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Single Phase Induction Motor Drive with Restrained Speed and Torque Ripples Using Neural Network Predictive Controller
... as model based control is used, these control algorithms utilizes an explicit plant model to predict fu- ture behavior of the plant and creates control signals based on the present ...non-linear ...
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Investigating the Relationship between the Reflected Near Infrared Light and the Internal Quality of Pineapples Using Neural Network
... artificial neural network to predict the internal quality of ...the neural network, the predictive model could classify the near infrared light from LED data to classify the ...
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Online Full Text
... of neural network-based model predictive control (NNMPC) for handling predefined optimal policy tracking determined by dynamic optimization strategy of a batch reactive distillation ...
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CONTROL OF NONLINEAR PROCESS USING NEURAL NETWORK BASED MODEL PREDICTIVE CONTROL
... Neural Network plant model generates the control signal which actually is the one step ahead prediction of the controller and is shown in Figure (6, ...
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Predictive Computational Model for Target Marketing using Social Network Analysis and Artificial Neural Network
... where the next value of the dependent output signal y(t) is regressed on previous values of the output signal and previous values of an independent(exogenous) input signal. Here y is the variable of interest and u is the ...
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Reconciling Predictive Coding and Biased Competition Models of Cortical Function
... hierarchical neural network implementation of equations 4 and 5 is shown in Figure ...practical model would include a convergence of connections from nodes with smaller non-overlapping receptive ...
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Neural Network Based Model Predictive Control of Batch Extractive Distillation Process for Improving Purity of Acetone
... Model predictive control (MPC) is an optimal control based method to determine control action by minimizing a specified objective ...linear model of a process and therefore the disadvantage ...
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Machine Learning based Early Fault Diagnosis of Induction Motor for Electric Vehicle Application
... a predictive method which can provide an effective online tuning of stator resistive parameters using temperature as a vital ...Duplex Neural-Lumped Thermal Network model which uses a trained ...
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Expert System-Based Predictive Cost Model for Building Works: Neural Network Approach
... on Neural Network application in solving actual cost problems in construction ...forward Neural system was found to have the greatest r-value and followed in regression order by Radial basis function ...
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Theoretical Study of Continuous B Cell Epitopes with Developed BP Neural Network
... BP neural network was used to predict the continuous B-cell epitopes, and finally the predictive model for the B-cells epitopes was estab- lished to prediction of the SWISS PROT NUMBER: ...
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DEVELOPMENT AND APPLICATION OF A STAGE GATE PROCESS TO REDUCE THE UNERLYING RISKS OF IT SERVICE PROJECTS
... of predictive models have been designed for ...Existing predictive models have not been well established for TBI ...existing predictive models have unsatisfactory results due to unavailability of ...
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Neural Network Predictive Control of a SOFC Fuelled with Ammonia
... established Model Predictive Control (MPC) methods are available in the literature [5-7; 23; 26-28; ...a predictive controller based on a T–S fuzzy model to maintain the stack ...a ...
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Consumer choice prediction : artificial neural networks versus logistic models
... feed-forward neural networks (MLFN) in analysing consumer choice ...the predictive power of the probability neural network (PNN), a special class of neural networks, and a MLFN with a ...
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Hybrid Neural Network Controller Design for a Batch Reactor to Produce Methyl Methacrylate
... problem, neural networks studied and provided successfully to capture the dynamics of nonlinear and complex systems have been proposed and formulated ...[8-13]. Neural networks have several advantages of ...
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Improving of Crystal Size Distribution Control Based on Neural Network Based Hybrid Model for Purified Terephthalic Acid Batch Crystallizer
... Model Predictive Control (MPC) is one of model based approaches which can handle most common process characteristics and industrial requirements in a satisfactory ...accurate model. In this ...
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EFFICIENT SCHEDULING OF WORKFLOW IN CLOUD ENVIORNMENT USING BILLING MODEL AWARE TASK CLUSTERING
... linear predictive coefficients (LPC), linear predictive cepstral coefficients (LPCC) and Mel-frequency cepstral coefficients ...RBFNN model enables nonlinear transformation followed by linear ...
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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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Design of Model Predictive Control based Direct Neural Controller for Surge Tank Application
... via neural controller. In this paper the inclusion of dynamic neural models in predictive control for a benchmark nonlinear process, surge tank is ...A Neural network approximator ...
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BAT ALGORITHM FOR ROUGH SET ATTRIBUTE REDUCTION
... Grey neural network model is denoted by GNNM(h, n), wherein, h is the order of the differential equations, n is the number of sequences involved in the ...Grey neural network ...
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