artificial neural network prediction
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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Air quality prediction using artificial neural network
... Air pollution is an important issue nowadays, being a factor which influences both human health and activities. There are many different chemical substances that contribute to it. These chemicals come from a variety of ...
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PREDICTION OF BUS TRAVEL TIME USING ARTIFICIAL NEURAL NETWORK
... between network output and desired output using a predefined learning rule (Sivanandam et ...the network is trained. The algorithm works best when the network inputs and outputs are normalized ...
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Application of artificial bee colony algorithm to select architecture of a optimal neural network for the prediction of rolling force in hot strip rolling process
... Back-propagation neural networks (BPNN) for prediction of rolling force：The theory of neural networks is inspired by the structure of the brain and how it processes a huge amount of information ...
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ARTIFICIAL NEURAL NETWORK IN MEDICAL DATA CLASSIFICATION AND PREDICTION
... of Neural Networks in predicting the outcome of in-vitro fertilization‖[6] point out the Infertility affects one in six couples at some time in their lives, with 48% of these couples requiring assisted is ...
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Stock Price Prediction Using Artificial Neural Network
... challenging. Prediction provides knowledgeable information regarding the current status of the stock price ...market prediction are reviewed. It is noticed that Artificial Neural ...
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Artificial Neural Network aided Protein Structure Prediction
... for prediction of 3-level secondary structures from the 8-level secondary ...structure prediction.. The work can be extended for prediction of tertiary structure using Recurrent Neural ...
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A Survey on Rainfall Prediction using Artificial Neural Network
... improving prediction quality further ...rainfall prediction models i.e. Artificial Neural Network model (ANN) and Multi Regression model (MLR) and implemented in Alexandria, ...of ...
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Prediction of Drug Lipophilicity Using Back Propagation Artificial Neural Network Modeling
... by artificial neural network (ANN). The neural network employed here is a connected back-propagation model with a 4-4-1 ...The prediction results are in good agreement with the ...
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Prediction of Wirelength in Digital Circuits Using Artificial Neural Network
... [5] neural based approach to predict the wirelength has been introduced, neural based approach gives least estimation error, a neural network completely replicates the behavior of the ...
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Combat aircraft effectiveness prediction by artificial neural networks
... Gripen (Q***) had a similar background and of development as Ching-kuo (10*), whose effectiveness is eager to be found out from this simulation. F-22x (11*), F- 22y (12*), and F-22z (13*) are hypothetical data; they are ...
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Artificial Neural Network and Hybrid ANN Models for the Prediction of Particulate Matter (PM10) Concentration, Trivandrum (India)”,
... as maximum temperature, minimum temperature, rainfal station level pressure and relative humidity were normalized into representative range of values (0, 1) for the computation using ANN. The dataset was normalized and ...
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Investigating and Prioritizing Factors Affecting Health Literacy in University Students of Yazd Using Artificial Neural Network Technique
... an artificial neural network using SPSS ...An artificial neural network is a data processing system that processes data through various processors that behave in an ...
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National Stock Exchange Stock and Index Price Direction Prediction using Back-propagation Artificial Neural Network
... trained Neural Network can effectively predict stock security price ...various Artificial Neural Network (ANN) architecture, input parameters, model performance measured parameter to ...
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Comparative Modelling and Artificial Neural Network Inspired Prediction of Waste Generation Rates of Hospitality Industry: The Case of North Cyprus
... (MLR), artificial neural networks (ANNs) and central composite design (CCD) were applied to predict the waste generation rate during the lean and peak ...highest prediction performance, specifically, ...
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Modeling of Power Consumption in Turning of Ferrous and Nonferrous Materials using Artificial Neural Network
... Artificial neural networks (ANN) have already been applied to various aspects of machining processes, such as optimization of machining parameters [5]-[6], prediction of cutting load [7]-[8], surface ...
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Backpropagation Neural Network Algorithm for Water Level Prediction
... of artificial neural network back propagation network algorithm for the prediction of water level is the actual data which is the result of observation using wireless sensor ...
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PREDICTION AND CLASSIFICATION OF THUNDERSTORMS USING ARTIFICIAL NEURAL NETWORK
... The designed neural network has implemented according to the proposed architecture. It has trained and tested using different weather data. The weights and bias were updated with each iteration. It was ...
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Prediction of Petroleum Price Using Back Propagation Artificial Neural Network Based on Chaotic Self-Adaptive Particle Swarm Algorithm
... From the graph, it can be concluded that the training effect of CSAPSO-BP ANN model is good, and the predicted value and actual value of the model are relatively good. By training the set of trained models, the ...
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A New Approach for Rainfall Prediction using Artificial Neural Network
... i.e., Artificial Neural ...Environmental Prediction (NCEP) and the International Research Institute ...the prediction of rainfall of the individual months using the ANN ...
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