artificial neural network
Artificial neural network analysis of genetic diversity in
... of artificial neural networks as a technique for genetic diversity analysis of Carica papaya ...an artificial neural network (computer program), according to the model proposed by ...
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Functional Link Artificial Neural Network for Classification Task in Data Mining
... Link Artificial Neural Network (FLANN) model for the task of pattern classification in data ...forward artificial neural network. The network is trained like Back ...
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Facial Expression Classification Based on Multi Artificial Neural Network and Two Dimensional Principal Component Analysis
... In this paper, we explain 2D-PCA and DiaPCA for facial feature extraction. These features are the input of our proposal model Multi Artificial Neural Network (MANN) with parameters (m, L). In ...
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Artificial Neural Network for Precipitation and Water Level Predictions of Bedup River
... Abstract—This study aims to improve water level prediction at Bedup River with estimations made to absent precipitation data, both using Artificial Neural Network (ANN). Studies to predict water ...
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Evaluation of Artificial Immune System with Artificial Neural Network for Predicting Bombay Stock Exchange Trends
... an artificial immune system for recognizing stock market trends and predict upward and downward directions of stock ...an Artificial Immune System (AIS) and Artificial Neural Network ...
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MOTION PLANNING OF AN AUTONOMOUS MOBILE ROBOT USING ARTIFICIAL NEURAL NETWORK
... The paper presents the electronic design and motion planning of a robot based on decision making regarding its straight motion and precise turn using Artificial Neural Network (ANN). The ANN helps in ...
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Artificial neural network for ecological-economic zoning as a tool for spatial planning
... an artificial neural network-self-organizing map (ANN-SOM), in order to provide subsidy to ecological- economic zoning (EEZ) as a tool to reduce the subjectivity of the ...
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ARTIFICIAL NEURAL NETWORK BASED DISCRIMINATION OF MINELIKE OBJECTS IN INFRARED IMAGES
... The manuscript entitled “ ARTIFICIAL NEURAL NETWORK BASED DISCRIMINATION OF MINE-LIKE OBJECTS IN INFRARED IMAGES ” is removed from our journal as per author instruction.. G.Suganthi et.[r] ...
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Prediction of Skin Penetration using Artificial Neural Network
... the neural network model was compared to the experimental ...uses artificial neural network for prediction of Skin permeability ...
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An Artificial Neural Network Application for Estimation of Natural Frequencies of Beams
... using artificial neural networks stabilizing large flexible space structures, in which the neural controller learns the dynamics of the structure to be controlled and constructs control signal ...
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Short-Term Load Forecasting Using Artificial Neural Network
... [6].Fuzzy Neural Networks (FNN) [7] and other techniques applying wavelets with NN [8] have also been tested for ...ANNSTLF-artificial neural network short term load forecaster is the only one ...
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Simulação de moagem mista por rede neural artificial Mix grinding simulation by artificial neural network
... This paper discusses the results of a mixed grinding simulator application based on an artificial neural network (multiple-layer perceptron using a back-propagation- like algorithm with moment). The ...
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Artificial Neural Network : A Brief Overview
... chosen artificial neural ...learned artificial neural network with the test (validation) data ...to artificial neural network while ...
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DESIGN AND ANALOG VLSI IMPLEMENTATION OF ARTIFICIAL NEURAL NETWORK
... Nature has evolved highly advanced systems capable of performing complex computations, adoption and learning using analog computations. Furthermore nature has evolved techniques to deal with imprecise analog computations ...
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Short Term Electrical Load Forecasting by Artificial Neural Network
... using artificial neural network (ANN) is given in ...the artificial intelligence based forecasting algorithms are proved to be potential techniques for this challenging job of nonlinear time ...
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An Artificial Neural Network for Data Forecasting Purposes
... neural network model for time series forecasting based on flexible multi-layer feed-forward ...new neural network-based method for prediction of non-linear time ...applied artificial ...
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Artificial neural network cascade identifies multi-P450 inhibitors in natural compounds
... an artificial neural network cas- cade (NNC) model composed of 23 cascaded networks in a ladder-like framework to identify potential multi-P450 inhibitors among natural compounds by integrating 12 ...
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Artificial neural network accurately predicts hepatitis B surface antigen seroclearance.
... Our previous study showed low qHBsAg levels and increased rate of qHBsAg decline could predict HBsAg seroclearance [15]. By selecting these two clinical parameters and entering them into building the ANN and LRM, the ...
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Forecast Share Prices with Artificial Neural Network in Crisis Periods
... is artificial neural networks. Artificial neural networks (ANN) do not contain standard formulas like econometric models, and they can adapt to the changes in the market easily (Guresen ...
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Artificial neural network models: data selection and online adaptation
... In European Union countries, primary energy consumption in buildings represents about 40% of the total energy consumption, and, with variations from country to country, half of this energy is spent for indoor climate ...
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