[PDF] Top 20 ARTIFICIAL NEURAL NETWORK IN MEDICAL DATA CLASSIFICATION AND PREDICTION
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ARTIFICIAL NEURAL NETWORK IN MEDICAL DATA CLASSIFICATION AND PREDICTION
... a data mining approach of rough sets on spermatological data analysis as predictors of in-vitro fertility of bull semen [2] pointed out to apply a relatively new data mining approach of rough set ... See full document
8
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 ... See full document
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PREDICTION AND CLASSIFICATION OF THUNDERSTORMS USING ARTIFICIAL NEURAL NETWORK
... property. Prediction of such calamities well in advance is inevitable. Prediction and classification of thunderstorms using Artificial Neural Network (ANN) is presented in this ... See full document
5
PREDICTION OF BUS TRAVEL TIME USING ARTIFICIAL NEURAL NETWORK
... apply artificial neural network (ANN) for development of bus travel time prediction ...time prediction model was developed to give real time bus arrival information to the passenger and ... See full document
15
PREDICTION OF RAINFALL MAGNITUDE IN ENUGU USING THE ARTIFICIAL NEURAL NETWORK
... the Artificial Neural network in the prediction of the re-occurring events with regular data ...of artificial neurons was first introduced in 1943 ...of artificial ... See full document
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Artificial Neural Network and Hybrid ANN Models for the Prediction of Particulate Matter (PM10) Concentration, Trivandrum (India)”,
... lowest order of differencing that yields a time series which defined mean value and whose autocorrelation function (ACF) plot decays fairly rapidly to zero, either from above or below. If the series still exhibits a term ... See full document
5
Surface Tension Prediction of Hydrocarbon Mixtures Using Artificial Neural Network
... In addition to experimental measurements, numerous theoretical researches have been carried out on the surface tension modeling [3-5]. Some of the presented models have a very strong theoretical basis such as those that ... See full document
13
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 ...non-linear ... See full document
13
Predicting Pavement Performance Utilizing Artificial Neural Network (ANN)
... highway network s to optimize pavement performance over predicted service life of the ...climate data was acquired from relevant a gencies and integrated with pavement condition data to include all ... See full document
5
Backpropagation Neural Network Algorithm for Water Level Prediction
... Artificial neural networks are parallel processor systems connected to each other in graphical form directed according to the chart of each neuron of the network represented as a ...of ... See full document
7
Comparative Study of Different Techniques for Heart Disease Prediction System
... Disease Prediction System is the system that helps to predict the heart disease mainly cardiovascular disease that includes Myocardial ...disease prediction system can be visualized from the fact that heart ... See full document
10
The Influence of Composite Laminate Stacking Sequence on Failure Load of Bonding Joints Using Experimental and Artificial Neural Networks Methods
... Failure load prediction of single lap adhesive joints using artificial neural networks. Aydın, An artificial neural network model for predicting compression strength of heat [r] ... See full document
10
Prediction of Skin Cancer Using Morphological Neural Network Analysis
... the classification stage involves the combinatorial use of Morphological Image Processing and Artificial Neural Network, called “Morphological Neural Network with Image Pruning” ... See full document
13
Analysis of cardiovascular (cvd)/coronary heart diseases(chd) using artificial neural network (ann)
... as prediction of heart attack, effectiveness of surgical procedures, medical tests, medication, effectiveness of medical treatments can be estimated by the application of ...ANN. Artificial ... See full document
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Intelligent Neural Network For Bacteria Classification: An Innovation In Artificial Neural Network
... of prediction accuracy and the time consumed to prepare the final outcome which was shown in ...of prediction as well; but the INN was generated only one ...of prediction for applying biochemical ... See full document
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Improved the Prediction of Multiple Linear Regression Model Performance Using the Hybrid Approach: A Case Study of Chlorophyll a at the Offshore Kuala Terengganu, Terengganu
... in prediction of Chlorophyll-a using this model is still a pandemic among researchers, due to the natural conditions in ocean water systems itself, which involved chemical, biological and physical processes and ... See full document
17
A Review: Evaluating the Parametric Optimization of Electrical Discharge Machining (EDM) by Using & Comparing Artificial Neural Network (ANN) and Genetic Algorithm (GA)
... Abstract: Artificial neural networks (ANN) and Genetic algorithms (GA) in a wide sense both belong to the class of evolutionary computing algorithms that try to mimic natural evolution or information ... See full document
14
Retina Based Biometric Identification System using Artificial Neural Network
... a classification in our model on a set of test data for which the true values are known the confusion matrix is simple to understand but the related terminology is confusing “quick reference guide” for ... See full document
5
Identification Of Weeds From Crops Using Convolutional Neural Network
... series data and promises a high accuracy ...of network Architecture YannLeCun uses a new architecture which is good at object recognition in image dataset called the Convolutional Neural ... See full document
6
Framework for a Genetic-Neuro-Fuzzy Inferential System for Diagnosis of Diabetes Mellitus
... After fuzzified, their values were send to FNN and the result is defuzzified. Then obtained results of ANN1 and FNN are used in the second ANN (ANN2) to compute the ultimate output. If the obtained output value is ... See full document
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