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artificial neural network identification

Biometric Identification Using Artificial Neural Network

Biometric Identification Using Artificial Neural Network

... Artificial Neural Networks (ANN) are the efficient means of prediction and recognition. The ability of the ANN to learn given patterns makes them suitable for such applications. Fingerprint, Face and Retina ...

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Speaker Identification System based on PLP Coefficients and Artificial Neural Network

Speaker Identification System based on PLP Coefficients and Artificial Neural Network

... speaker identification and phoneme classification ...an artificial neural network: multilayer perceptron MLP using PLP coefficients of voice ...

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Artificial Neural Network and Particle Swarm Optimization in Orange Identification

Artificial Neural Network and Particle Swarm Optimization in Orange Identification

... Exact and productive identification of natural products is a fundamental issue in post-gathering processes completed in business manufacturing plants. Programmed acknowledgment of organic product assortments ...

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Retina Based Biometric Identification System using Artificial Neural Network

Retina Based Biometric Identification System using Artificial Neural Network

... ABSTRACT: Artificial neural network has gained wide acceptance all over the world in the field of medical, technical ,scientific, research etc ....,the artificial neural network ...

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Disease Identification in Cotton Plants Using Spatial FCM & PNN Classifier

Disease Identification in Cotton Plants Using Spatial FCM & PNN Classifier

... regression, artificial neural network (back propagation neural network, generalized regression neural network) and support vector machine (SVM) was ...and neural ...

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Stability Classification of Artificial Dam of Groundwater Reservoir Based on Neural Network

Stability Classification of Artificial Dam of Groundwater Reservoir Based on Neural Network

... stability identification model is applied to practice to classify and identify the stability of several artificial ...stability identification model is used to identify the type of dam, and the ...

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Nondestructive identification of tea (Camellia sinensis L ) varieties using FT NIR spectroscopy and pattern recognition

Nondestructive identification of tea (Camellia sinensis L ) varieties using FT NIR spectroscopy and pattern recognition

... model Artificial neural network (ANN) is a non-linear pattern recognition ...Propagation Artificial Neural Network (BP-ANN) with 3 layers construction was used to construct the ...

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 EFFICIENT SCHEDULING OF WORKFLOW IN CLOUD ENVIORNMENT USING BILLING MODEL AWARE 
TASK CLUSTERING

 EFFICIENT SCHEDULING OF WORKFLOW IN CLOUD ENVIORNMENT USING BILLING MODEL AWARE TASK CLUSTERING

... pages. Artificial neural network was employed to recognize the numbers from the ...the neural network was successfully recognized the number with high accuracy of ...student ...

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An Efficient Segmentation Approach with Texture Analysis for Plant Disease Identification in CIELAB Space

An Efficient Segmentation Approach with Texture Analysis for Plant Disease Identification in CIELAB Space

... regression, artificial neural network (back proliferation neural network, summed up regression neural network) and bolster vector machine (SVM) was thought ...and ...

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The system identification of HVAC artificial neural network

The system identification of HVAC artificial neural network

... Parameters Identification of Hermetic Refrigeration Compressors with Single-Phase Induction Machines using RLS Algorithm XIX International Conference on Electrical Machines - ICEM 2010, ...

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Credit Card Fraud Identification Using Artificial Neural Networks

Credit Card Fraud Identification Using Artificial Neural Networks

... fraud identification systems have been introduced till ...fraud identification using artificial neural ...proposed artificial neural network model applied on two different ...

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ARTIFICIAL NEURAL NETWORK BASED INTELLIGENT FAULT IDENTIFICATION OF ROTATING MACHINERY

ARTIFICIAL NEURAL NETWORK BASED INTELLIGENT FAULT IDENTIFICATION OF ROTATING MACHINERY

... faults. Neural networks (NN) are suitable for these tasks and have been widely researched as an artificial intelligence tool for machinery fault ...a neural network. The neural ...

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Product Identification And Robotic Arm Controller System Using Artificial Neural Networks And Microcontroller

Product Identification And Robotic Arm Controller System Using Artificial Neural Networks And Microcontroller

... 3 layer represent as the range classification. The reason why is MATLAB used in this project because it is easy to use because the language that easy to understand, easily to written and modified and also there are many ...

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Osmotic Drying Rate Estimation for Dehydration of Beetroot Slices using Artificial Neural Network

Osmotic Drying Rate Estimation for Dehydration of Beetroot Slices using Artificial Neural Network

... of neural network is in its training & algorithm suggested by Rumelhart [9] is popular in this ...using Artificial Neural Network [15] ...

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Applying ANN, ANFIS, and LSSVM Models for Estimation of Acid Solvent Solubility in Supercritical CO

Applying ANN, ANFIS, and LSSVM Models for Estimation of Acid Solvent Solubility in Supercritical CO

... process. Artificial neural network has ability of tracing a nonlinear form relationship between input and output ...ability, artificial neural networks have widespread application in ...

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Title: CLASSIFICATION ON BREAST CANCER USING GENETIC ALGORITHM TRAINED NEURAL NETWORK

Title: CLASSIFICATION ON BREAST CANCER USING GENETIC ALGORITHM TRAINED NEURAL NETWORK

... correct network conduct are provided for the learning rule. The network input is xn in this case and dn is the required destination ...make network outputs more exact, the Study rule is employed to ...

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Digital Synthetic Ripple Modulator (SRM) for DC-DC Converter

Digital Synthetic Ripple Modulator (SRM) for DC-DC Converter

... an artificial ripple me of carrier signal generation for Pulse-width modulation (PWM) control enables voltage- hysteretic modulation to be achieved in the low-voltage voltage regulator module (VRM) modules for ...

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Prediction of prostate cancer by deep learning with multilayer artificial neural network

Prediction of prostate cancer by deep learning with multilayer artificial neural network

... in artificial intelligence are now being applied to various fields in society and ...A neural network simulates the pattern recognition capabilities of a biological ...multilayer artificial ...

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Estimation of groundwater level using a hybrid genetic algorithm-neural network

Estimation of groundwater level using a hybrid genetic algorithm-neural network

... evolved neural networks using a real coded genetic algorithm for simulations of monthly groundwater levels in a coastal aquifer located in the Shabestar Plain, ...a network can be used as a viable ...

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Analysis of cardiovascular (cvd)/coronary heart diseases(chd)  using artificial neural network (ann)

Analysis of cardiovascular (cvd)/coronary heart diseases(chd) using artificial neural network (ann)

... Neural Network (ANN) is a very important research domain now a days. Artificial Neural Network , coupled with Data mining , is a very exciting field ...sector, Neural ...

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