neural network based modeling
Artificial Neural Network Based Modeling of Tractor Performance at Different Field Conditions
... Artificial Neural Networks (ANNs) have been accepted as a potentially useful tool for modeling complex non-linear systems and widely used for prediction (Nayak et ...artificial neural network ...
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PP and PP Multi Particles Production Investigation Based on CCNN Black Box Approach
... black-box modeling metho- dology based on applying the artificial neural network (ANN) approach ...of neural network models being based on nonlinear functions and having a ...
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Prediction of Tourist Quantity Based on RBF Neural Network
... Artificial neural network (ANN) modeling method is an effective analysis method for forecasting, which can well reveal the correlation of nonlinear time series in delay state ...in neural ...
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ABCNN: Attention Based Convolutional Neural Network for Modeling Sentence Pairs
... We also create NONOVER, a copy of ORIG in which words occurring in both sentences are re- moved. A sentence in NONOVER is denoted by the special token <empty> if all words are removed. Table 5 shows three pairs ...
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Software Development Effort Estimation – Neural Network Vs. Regression Modeling Approach
... accurately modeling and predicting the software development effort, and then create project development ...a neural network (NN) approach and a multiple regression modeling approach to model ...
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A COMPUTATIONAL HYBRID MODEL WITH TWO LEVEL CLASSIFICATION USING SVM AND NEURAL NETWORK FOR PREDICTING THE DIABETES DISEASE
... ANN modeling via cross validation training [18] to train and validate model based on five-fold cross validation (5-FCV) approach with two different data ...model based 5-FCV is validated using a ...
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A Novel Power Amplifier Behavior Modeling Based on RBF Neural Network with Chaos Particle Swarm Optimization Algorithm
... behavioral modeling, for example, one of the challenges of the modeling of nonlinear behavior of RF microwave modules is to precisely describe both strong nonlinearity and memory effects, which have more ...
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Neural Network Priority Use of BTS for Optimizing Telecommunications in Indonesia
... Artificial Neural Network modeling system which will be used to determine and recognize the pattern in predicting the villages becoming the priority of installation of BTS USO for telecommunication ...
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Groundwater quality assessment using artificial neural network: A case study of Bahabad plain, Yazd, Iran
... and decision makers (Cuesta Cordoba, 2011). The ultimate goal of Artificial Intelligence is to build an artificial human, by making a software program that can think like humans, such machines can make the best decisions ...
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Investigation of potato peel-based bio-sorbent efficiency in reactive dye removal: Artificial neural network modeling and genetic algorithms optimization
... The 90 data of dye removal (DR%) together with corresponding experimental conditions were used as a data set. The five operational parameters were considered as inputs of models whilst the DR% was considered as dependent ...
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Modeling of Micro Hydro Power Plant and Its Control Based On Neural Network
... power to an isolated home, small community, small industry or sometimes connected to electric power networks. But in Micro hydro plant, the main problem is maintenance of frequency at 50 Hz. Lie Jasa et al [1] describes ...
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NEURAL NETWORK BASED PEM FUEL CELL MODELING FOR ELECTRIC VEHICULAR APPLICATION
... In this paper, application of ANN is used to predict the stack voltage of PEM fuel cells. In this analysis, two parameters namely stack current and stack temperature were used as input to the network with the ...
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Neural Network Based Model Predictive Control of Batch Extractive Distillation Process for Improving Purity of Acetone
... Neural network modeling and neural network based model predictive control (NNMPC) are proposed and studied in this work for the modeling and control of a batch extractive ...
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Modeling of Stripper Temperature based on Improved T-S Fuzzy Neural Network
... temperature modeling method of PVC stripper based on T-S fuzzy model, and will present an improved T-S fuzzy model with established novel fuzzy rules for new and nearest neighbor clustering ...temperature ...
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Application of functional link neural network to HVAC thermal dynamic system identification
... artificial neural network and fuzzy logic ...a neural controller [12], [17], ...Artificial neural networks are also used to emulate the plant dynamics, in order to estimate future plant ...
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Study on Computer Generated Electromagnetic Effects on Computer Users
... of Neural Network (NN) based fuel cell powered electric vehicle model is analyzed for three different modified drive cycle patterns such as M- HWY, M-US06 and M-FTP based on which they are ...
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Applying Fuzzy Logic Model for Bending Rigidity Evaluation of Woven Fabrics
... artificial neural network model, ...rigidity based on the mentioned ...three modeling methodologies based on mathematical, empirical and artificial neural network was ...
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Modeling of Grain Storage Ventilation Based on BP Neural Network
... and neural network training and test data were ...BP neural network model of real-time grain temperature and moisture, air temperature and humidity changes in the granary is ...
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Modelling and predicting of MODIS leaf area index time series based on a hybrid SARIMA and BP neural network method
... The modeling and predicting of vegetation Leaf area index (LAI) is an extremely important indication factor for growth status of ...BP neural network and a hybrid method of SARIMA-BP neural ...
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APPLICATION OF MULTILAYER PERCEPTRON BASED ARTIFICIAL NEURAL NETWORK FOR MODELING OF RAINFALL RUNOFF IN A HIMALAYAN WATERSHED
... The Bino watershed with a drainage area of 296.366 Km 2 is situated in North-Eastern part of Ramganga catchment in middle and outer ranges of Himalayas between 79 o 6' 14.4'' E to 79 o 17' 16.8'' E longitude and 29 o 47' ...
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