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[PDF] Top 20 Neural Network Based Model Refinement

Has 10000 "Neural Network Based Model Refinement" found on our website. Below are the top 20 most common "Neural Network Based Model Refinement".

Neural Network Based Model Refinement

Neural Network Based Model Refinement

... nonlinear model generators use predefined analytical forms for generating ...nonlinear model generators build automatically analytical expressions containing influence ...nonlinear model generator is ... See full document

9

Blood Cell Segmentation Based on Improved Pulse Coupled Neural Network and Fuzzy Entropy

Blood Cell Segmentation Based on Improved Pulse Coupled Neural Network and Fuzzy Entropy

... Coupled Neural Networks (PCNN) is suitable for image ...PCNN model is ...PCNN model being simplified and the connection portion of PCNN being ... See full document

12

Software Development Effort Estimation – Neural Network Vs. Regression Modeling Approach

Software Development Effort Estimation – Neural Network Vs. Regression Modeling Approach

... a neural network (NN) approach and a multiple regression modeling approach to model and predict the software development effort based on an available real life dataset which is prepared by ... See full document

7

REM, Int. Eng. J.  vol.71 número1

REM, Int. Eng. J. vol.71 número1

... Artiicial Neural Network (ANN) and relationships based on geomechanical parameters to model the blast-induced vibration attenuation using blasting and rock mass parameters at a Brazilian ... See full document

7

Design and Implementation of a Neural Control System and Performance Characterization with PID Controller for Water Level Control

Design and Implementation of a Neural Control System and Performance Characterization with PID Controller for Water Level Control

... The neural network controller is created directly based on the neural network ...the neural network identifier are constantly verified against the actual plant ...the ... See full document

10

Electricity Load Forecasting based on Framelet Neural Network Technique

Electricity Load Forecasting based on Framelet Neural Network Technique

... LFFNN model with a high forecasting ...of neural networks in short-term load ...the model, thus minimizing their training frequencies as shown in the ...The neural network was able to ... See full document

4

J. Braz. Soc. Mech. Sci. & Eng.  vol.34 número3

J. Braz. Soc. Mech. Sci. & Eng. vol.34 número3

... to model tool wear in turning and proved the accuracy by comparing with experimental ...fuzzy neural network ...estimation. Neural network was applied to predict the wear during hard ... See full document

9

Dynamic Reputation Based Trust Management Using Neural Network Approach

Dynamic Reputation Based Trust Management Using Neural Network Approach

... trust model as one kind of decision support systems, using RBF artificial neural network to determine trust level and mitigate the number of unreliable ... See full document

5

LANL<sup>*</sup>V2.0: global modeling and validation

LANL<sup>*</sup>V2.0: global modeling and validation

... efficient model is particularly important for real-time processing of space weather applica- tions and studies involving solar cycles of data ...TS05 model, the technique itself is applicable to other ... See full document

7

Lat. Am. j. solids struct.  vol.12 número3

Lat. Am. j. solids struct. vol.12 número3

... of neural networks. Neural networks have advantages over statistical models like their data-driven nature, model-free form of predictions, and tolerance to data ...of neural networks with a ... See full document

15

Hybrid Intelligent Model for Software Maintenance Prediction

Hybrid Intelligent Model for Software Maintenance Prediction

... Evolutionary Neural Network (NN) model to predict software ...proposed model is based on a hybrid intelligent technique wherein a neural network is trained for prediction ... See full document

5

Transmission network expansion planning based on hybridization model of neural networks and harmony search algorithm

Transmission network expansion planning based on hybridization model of neural networks and harmony search algorithm

... transmission network owners. In most cases, expansion costs and network losses are in conflict with each other, so the component losses in TNEP would be a multi-criteria decision making (MCDM) ...the ... See full document

10

J. Microw. Optoelectron. Electromagn. Appl.  vol.16 número3

J. Microw. Optoelectron. Electromagn. Appl. vol.16 número3

... Regression Neural Network (GRNN) in the modeling of path loss in urban and suburban areas are ...of neural network models were tested for both environments, differing only in the input ... See full document

15

A neural network model of ventriloquism effect and aftereffect.

A neural network model of ventriloquism effect and aftereffect.

... neglect neural implementation of optimal ...underlying neural activity, circuitry and mechanisms are not ...a neural implementation of optimal Bayesian integration (gain-encoding scheme ...that ... See full document

19

Bol. Ciênc. Geod.  vol.23 número1

Bol. Ciênc. Geod. vol.23 número1

... datum based on War Office 1926 ellipsoid and World Geodetic System 1984 (WGS84) ...Artificial Neural Network-Error Compensation Model ...proposed model formulation include the ... See full document

21

Braz. J. Chem. Eng.  vol.25 número4

Braz. J. Chem. Eng. vol.25 número4

... a neural network with 6 neurons in the hidden layer. This model showed good agreement with the experimental observations, as shown in Figure ...a neural network is distributed over its ... See full document

12

Neural Network Based Control of an Absorption Column in the Process of Bioethanol Production

Neural Network Based Control of an Absorption Column in the Process of Bioethanol Production

... Operating data were obtained through a computational program based on the rigorous mathematical model previously described (see 2.1.1). Step disturbances on the gas mixture composition (between –10% and ... See full document

12

CONTROL OF NONLINEAR PROCESS USING NEURAL NETWORK BASED MODEL PREDICTIVE CONTROL

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, ... See full document

9

NEURO MODELING AND CONTROL STRATEGIES FOR A pH PROCESS

NEURO MODELING AND CONTROL STRATEGIES FOR A pH PROCESS

... a neural network based internal model control is designed for a pH process and its performance is compared with conventional PI controller and inverse neuro ... See full document

10

Reward optimization in the primate brain: a probabilistic model of decision making under uncertainty.

Reward optimization in the primate brain: a probabilistic model of decision making under uncertainty.

... another based on uncertain and delayed reinforce- ...selection based on ...a model that combines a traditional decision making model with reinforcement learning [9] (see also ...a ... See full document

11

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