[PDF] Top 20 Project Selection: Artificial Neural Network Approach
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Project Selection: Artificial Neural Network Approach
... to artificial neural network, it has shown from the validation analysis with the use of regression model that artificial neural network is a ‘dynamic’ modeling technique to ... See full document
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Analysis of cardiovascular (cvd)/coronary heart diseases(chd) using artificial neural network (ann)
... ANN configuration and Back-Propagation Algorithm (Levenberg –Marquardt (LM) algorithm): In the present study a feed forward back propagation ANN is configured for the classification and recognition of ... See full document
8
Analysis of Earth Embankment Structures using Performance-based Probabilistic Approach including the Development of Artificial Neural Network Tool.
... Earth embankment structures (i.e. levees and dams) plays a critical role during extreme flooding and storm events. Given the nation’s deteriorated state of these structures and the shortage in rehabilitation fund, there ... See full document
217
Application of Artificial Intelligence for Epilepsy Disease
... recurrent Neural Network (RNN) ...belief network [11] and restricted Boltzmann machine [10], in short it is written DBN and ...two-surface neural net accompanied by one perceptible and one ... See full document
7
Title: DIAGNOSIS ON LUNG CANCER USING ARTIFICIAL NEURAL NETWORK
... functions that generated the ANN with the best weighted recognition rate were those that used the classification error. The modified BP was compared in terms of the accuracy, error rate, sensitivity rate, specificity ... See full document
7
An Artificial Neural Network Approach for Credit Risk Management
... ral networks (ANN). Analyzing over 1000 healthy, vul- nerable and unsound industrial Italian firms from 1982 – 1992, this study was carried out at the Centrale dei Bi- lanci in Turin (Italy) and is now being tested in ... See full document
10
Forecasting of heavy metals concentration in groundwater resources of Asadabad plain using artificial neural network approach
... The performance of ANN models with Levenberg-Marquardt algorithm were compared in predicting three heavy metals concentration in groundwater resources of Asadabad plain. The output of the model was a prediction of ... See full document
10
Economic Approach for Stochastic Artificial insemination by Neural Network
... common neural network model is the multi-layer perceptron ...of neural network is known as a supervised network because it requires a desired output in order to ...of network is ... See full document
5
Leaf Disease Detection and Selection of Fertilizers using Artificial Neural Network
... This system offers a new practical plant-disease detection system, for this it takes 7,520 cucumber leaf images comprising images of healthy leaves and those infected by different viral diseases. The leaves were ... See full document
7
Using artificial neural network to predict power plant turbine hall key cost drivers
... The time dependent in current practice in cost estimation of Power Plant Projects has inherited the traditional foolproof processes and dependent mainly on the manual search into historical databases; where it is then ... See full document
25
Fingerprint Identification System Based On Neural Network
... this project is to design and develop a pattern recognition system with using Artificial Neural Network (ANN) that can recognize the type of image based on the features extracted from the ... See full document
6
INTRUSION DETECTION USING FEATURE SELECTION BY OPTIMIZATION WITH ARTIFICIAL NEURAL NETWORK
... cases Artificial Neural Network and Artificial Neural Network with GA perform well contrast with other parameter like exactness, review and f-measure yet ANN_GA still preferable ... See full document
12
Artificial Neural Network
... do. Neural networks process information in a similar way the human brain ...The network is composed of a large number of highly interconnected processing elements (neurons) working in parallel to solve a ... See full document
9
Using Artificial Neural Network Modeling in Forecasting Revenue: Case Study in National Insurance Company/Iraq
... new approach that uses a supervised feed-forward neural network model to forecast Japanese tourist arrivals in Hong ...the neural network contains six nodes: Ser- vice Price, Average ... See full document
8
Steganography Detection using Functional Link Artificial Neural Networks
... new approach known as Steganography detection using Functional Link Artificial Neural Networks that deals with neural network models that are able to detect Steganography content coded ... See full document
5
Insights on Security Improvements and Implications of Artificial Intelligence in MANET
... learning approach in order to explore the best possibility of initial-reported cases of intrusion as per the assigned fitness ...mobile network where harnessing deep neural network has better ... See full document
9
An Approach Based On Artificial Neural Network for Data Deduplication
... on artificial neural network is ...the neural network and then a testing phase is implemented to find the redundant or duplicate ... See full document
8
Construction Quality Residential Project Based on Artificial Neural Network
... on artificial neural network for residential project con- struction quality is ...using artificial neural network and AHP method simulates the expert to evaluate the ... See full document
10
Dynamic Pricing in Ecommerce using Neural Network approach
... based approach to study price dynamics in an electronic retail ...and Artificial Neural Network (ANN) for estimation of player price in ...using artificial neural network ... See full document
7
Vol 5, No 1 (2013)
... A neural network (NN), in the case of artificial neurons called artificial neural network (ANN) or simulated neural network (SNN), is an interconnected group of ... See full document
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