artificial neural network-based modeling
Artificial Neural Network Based Modeling of Tractor Performance at Different Field Conditions
... propagation Artificial Neural Network (ANN) models with different training algorithms and reported that the highest performance was obtained for the network with two hidden layers each having ...
13
Artificial neural network for traffic noise modeling
... models based on mathematical expression, genetic algorithms and neural ...propagation neural network has been developed to predict vehicular traffic noise in urban ...from neural ...
7
Modeling and Planning on Urban Logistics Park Location Selection Based on the Artificial Neural Network
... is based on COM component, and its run environment is Windows 2000, database is SQL Server 2000, programming tool is Matlab 7, where we take the neural network toolbox ...neural ...
6
A COMPUTATIONAL HYBRID MODEL WITH TWO LEVEL CLASSIFICATION USING SVM AND NEURAL NETWORK FOR PREDICTING THE DIABETES DISEASE
... an artificial intelligence model for customers’ loyalty assessment in Malaysian Islamic ...an artificial neural network (ANN) based on cross validation for modeling customer ...
12
Prediction of Drug Lipophilicity Using Back Propagation Artificial Neural Network Modeling
... constructed based on 110 training compounds, and predictive ability was tested on 40 compounds reserved for that ...formulation. Modeling of logarithm of logP o/w of these compounds as a function of the ...
10
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 ...
13
Evaluation of Ultimate Torsional Strength of Reinforcement Concrete Beams Using Finite Element Analysis and Artificial Neural Network
... of modeling failure and should be used ...criterion based on an incorrect user assumption will lead to the inappropriate ...this modeling approach, the concrete cracking behavior is considered ...
8
Groundwater quality assessment using artificial neural network: A case study of Bahabad plain, Yazd, Iran
... 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 under critical conditions by combining advanced ...
7
Research on Classification of E-shopper Based on Neural Networks and Genetic Algorithm
... and neural network etc are usually used to mine e-shopper’s transaction database in order to classify ...And artificial neural network is the important one of the ...fact, neural ...
8
Modeling of Relative Humidity Using Artificial Neural Network
... feedforward artificial neural network ...the neural networks. Based on results, the proposed neural network gives accurate prediction of hourly relative humidity whereas ...
7
Modeling Gold Price via Artificial Neural Network
... model. Based on the „hunches of experts‟, seven input parameters for the gold price forecasting were identified: USD Index (measures the performance of the United States Dollar against the Canadian Dollar), ...
5
Artificial neural network modeling of p-cresol photodegradation
... Recently, artificial neural networks have been widely used to solve the problems because of their reliable, robust, and salient characteristics in capturing the non-linear relationships between variables in ...
7
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 ...
8
APPLICATION OF MULTILAYER PERCEPTRON BASED ARTIFICIAL NEURAL NETWORK FOR MODELING OF RAINFALL RUNOFF IN A HIMALAYAN WATERSHED
... in modeling using artificial intelligence techniques is identifying the best input combination of the network ...suitable network architecture are key aspects requiring further attention ...
14
Neural Network Priority Use of BTS for Optimizing Telecommunications in Indonesia
... Artificial Neural Network Model Modeling System for Optimization of BTS At the time of input data (input) we have got, then can be done to designing Artificial Neural ...
5
Applying Fuzzy Logic Model for Bending Rigidity Evaluation of Woven Fabrics
... the modeling methodologies, Behara and Muttagi have used the published data of Leaf and Kandil [8] on fabric initial bending rigidity ...and artificial neural network, with corresponding ...
8
Modeling of a Glass Tank Furnace Using Artificial Neural Network
... dropped. Based on value of r the parameters considered are I1, I2, I3, I4, I5, I6, I7, I8, I9, I10, I11, I12, I13, I14, I15, I16, I17, I18, I19, I20, I21, I22, I23, I24, I25, I26, I27, I28, I29, I30, I31, I32, ...
6
Informative Feature Trained Classification System For Credit Card Fraud Detection
... Neural network based fraud detection methods are most ...of artificial neurons is contained in artificial neural ...of neural network. In neural ...
5
FACIAL ANIMATION AND MULTIPLE HIERARCHICAL MODELS FOR AGE AND GENDER PREDICT THE FEED FORWARD PROPAGATION AND CASCADE PROPAGATION
... A neural network usually involves a large number of processors operating in parallel, each with its own small sphere of knowledge and access to data in its local ...a neural network is ...
16
Beat classification of an ecg signal using photoplethysmography and neural network
... Firstly, the overall performance was tested with the10 dimensional PPG features, bypassing the feature selection phase. Secondly, selected features were used for performance analysis. Both ANN and SVM were used for ...
6