Artificial neural network (ANN)
Short-Term Load Forecasting Using Artificial Neural Network
... Abstract--Artificial neural network (ANN) has been used for many years in sectors and disciplines like medical science, defence industry, robotics, electronics, economy, forecasts, ...
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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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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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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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Prediction of Skin Penetration using Artificial Neural Network
... of Artificial Neural Networks (ANN) as black-box simplified ...outputs. Neural networks and generic algorithms are two branches of artificial intelligence that can provide many benefits in ...
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Artificial Neural Network : A Brief Overview
... Artificial Neural Network (ANN) is an information processing paradigm that is inspired by the way biological nervous systems, such as the brain, process ...system. Neural networks, have ...
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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 Application for Estimation of Natural Frequencies of Beams
... Abstract —In this study, natural frequencies of the prismatical steel beams with various geometrical characteristics under the four different boundary conditions are determined using Artificial Neural ...
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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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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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Artificial neural network analysis of genetic diversity in
... The use of artificial neural network technology has been fit into the context of agriculture in different ways, e.g., in the identification of early stages of pest or disease development, 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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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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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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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
... Multi Artificial Neural Network (MANN), applying for pattern or image classification with parameters (m, L), has m Sub-Neural Network (SNN) and a global frame (GF) consisting L ...
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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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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 models: data selection and online adaptation
... goal, artificial intelligence models such as neural networks and Support Vector Machines (SVM) have been proposed because of their high potential capabilities of performing accurate nonlinear mappings ...
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Artificial Neural Network Analysis in Preclinical Breast Cancer
... the network for testing data versus the number of neurons in the hidden layer using LM and QP ...a network with 9 hidden neu- rons produced the best performance when LM algorithm was ...a network ...
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