[PDF] Top 20 An Approach Based On Artificial Neural Network for Data Deduplication
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An Approach Based On Artificial Neural Network for Data Deduplication
... of data gathered from numerous data sources constitute the foundation of the majority of existing decision support applications and CRM (Customer Relationship ...on data warehouses is vital because ... See full document
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A new credit risk assessment approach based on artificial neural network
... comprises artificial intelligent techniques, such as artificial neural networks [7, 8], evolutionary computation and genetic algorithm [9] and support vector machine [10] and so ...as neural ... See full document
7
Global solar radiation forecasting based on meteorological data using artificial neural network
... using artificial neural networks (ANNs). This prediction was based on collected data from 28 sites in ...is based on the feed forward multilayer perception model with four inputs and ... See full document
5
Missing river discharge data imputation approach using artificial neural network
... missing data of river discharge at Sg Langat. The numbers of missing data are varies from day to month to ...missing data, artificial neural networks (ANNs) has been adopted as an ... See full document
6
A New Approach for Estimating Free Point in Fishing of Stuck Pipe using Artificial Neural Network
... The parameters that were collected as the important parameters in stuck pipe at first steps were as follows: Mud properties which are Mud Weight (MW), Plastic Viscosity (PV), Yield Point (YP), 10-Second Gel Strength and ... See full document
5
HANDWRITTEN SIGNATURE VERIFICATION USING NEURAL NETWORK & ECLUDEAN APPROACH
... is based on signature verification which is recognized and verified ...The approach for signature verification which will be using is based on artificial neural network which ... See full document
8
APPROXIMATE, GENERALIZED FIELD DATA BASED MATHEMATICAL MODELING AND ANN SIMULATION OF PVC PIPE MANUFACTURING PROCESS
... observed data from the experimentation is separated into two parts viz. input data or the data of independent pi terms and the output data or the data of dependent pi ...input ... See full document
10
Implementation of Artificial Neural Network Training Data in Micro-Controller Based Embedded System
... Following the architecture of the network are the optional starting weights. If no starting weights are given the trainer will choose random weights. The weights need to be listed in the same format as the ... See full document
8
Artificial Neural Network Based Hybrid Algorithmic Structure for Solving Linear Programming Problems
... redundant constraints prior to the start of the solution process. In this heuristic approach, tendency of variables to pop in and pop out of the basis is eradicated after eliminating the redundancies. The ... See full document
6
Project Selection: Artificial Neural Network Approach
... observed data is a fundamental problem in many fields, such as statistical data analysis, signal processing, control, forecasting, and computational intelligence ...biological neural networks, fuzzy ... See full document
6
Dynamic Pricing in Ecommerce using Neural Network approach
... learning based approach to study price dynamics in an electronic retail ...model based on Analytical hierarchy Process (AHP) and Artificial Neural Network (ANN) for estimation of ... See full document
7
Estimation of umbilical cord blood leptin and insulin based on anthropometric data by means of artificial neural network approach: identifying key maternal and neonatal factors
... anthropometric data, and possibly the on-line estimation during pregnancy, birth and ...model, based merely on early gestation anthropomet- ric maternal information, was able to confidently simulate UCB ... See full document
11
Survey on Credit Card Fraud Detection Methods
... techniques based on Artificial Intelligence, Data mining, Neural Network, Bayesian Network, Fuzzy logic, Artificial Immune System, K- nearest neighbor algorithm, Support ... See full document
6
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 ... See full document
5
Artificial neural network-based approach for Mizo character recognition system
... ral Network can be trained to perform complex functions in various fields, including pattern rec- ognition, identification, classification, speech, vision, and control ...systems. Neural networks can also ... See full document
6
Outsourced Data Privacy by Utilizing Artificial Neural Network and Gaussian Noise Approach
... technique based on an aggregate formulation and prove that it can be implemented in polynomial time; and 2) we show that combining the proposed aggregate formulation with specific sampling gives an anonymization ... See full document
5
Artificial Intelligence Technique for Speech Recognition Based on Neural Networks
... recognition based on sophisticated ...using artificial neural networks, As a result; when building a signal processing system, the structure of the network should be selected; according to ... See full document
6
Sugeno Type Fuzzy Inference Model for Stock Price Prediction
... [18] Study stock trend prediction system based on Artificial Neural Network ANN and fuzzy logic rules using technical indicators and Elliott’s wave theory.. In this approach the neural n[r] ... See full document
12
Artificial Neural Network Based Data Mining
... of data according to different perspectives, for categorization into useful ...The data is collected and assembled in common areas, such as data warehouses, for efficient ...analysis. Data ... See full document
6
Informative Feature Trained Classification System For Credit Card Fraud Detection
... introduced Artificial Neural Networks (ANN) which is capable of simplifying the programming effort and algorithm design used in conventional ...on neural networks and fuzzy ...historical data ... See full document
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