regression-based model prediction
Research on environmental prediction based on linear regression model
... Environmental prediction is a natural disaster which loses dynamic ...environmental prediction in mining process effectively, has become one of the challenges faced by the underground project ...
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Prediction of Vertical Handover Using Multivariate Regression Model
... task based on available parameters like Received Signal Strength, Bandwidth, Cost, Network Coverage, Jitter, Packet Loss, Latency ...Multivariate Regression Model to help select the best network with ...
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Variation in the inter service intervals of UK dairy cows
... level regression model based on data from 42,252 cows in 159 UK dairy herds, error bars.. represent 95% confidence intervals for each prediction..[r] ...
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Empirical Studies of a Prediction Model for Regression Test Selection
... practices, based on the tester's understanding of the program's functionality and knowledge of special values and bound- ary points that are easily observable in the codeº [14, ...
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Flash Flood Prediction Model based on Multiple Regression Analysis for Decision Support System
... Hydrologic Monitoring was very important in flood prevention, in the last years, different modern techniques were applied for flood forecasting, including some artificial intelligence based approaches, such as ...
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Air Quality Prediction Through Regression Model
... Regression analysis techniques are used to predict the concentration of Carbon monoxide C.O. in the environment. The short term exposure of Carbon monoxide causes headaches, dizziness, vomiting, nausea, irritation ...
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Configuration for Predicting Travel Time Using Wavelet Packets and Support Vector Regression
... Travel-time prediction has gained significance over the years especially in urban areas due to increasing traffic conges- ...travel-time prediction models are discussed, with a small review of the previous ...
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Improving Disease Prediction by Incorporating Family Disease History in Risk Prediction Models with Large-Scale Genetic Data
... penalized regression models using all SNPs may simultaneously provide optimal performance even though it is infeasible in many cases because of the computational ...optimal prediction accuracy and is ...
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Prediction of Indonesian Inflation Rate Using Regression Model Based on Genetic Algorithms
... The problem of finding the optimal prediction model can be seen as an optimization problem. Genetic algorithms are often used to deal with optimization problems. Genetic Algorithm is a solution search ...
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Prediction of Solar Radiation for the Major Climates of Jordan: A Regression Model
... A series of ground cover maps were released in 2006 by the Royal Jordanian Geographic Cen- ter (RJGC), based on the usage of digital clas- sification of Landsat satellite images. Ground cover was divided into 18 ...
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Prediction of Soil Salinity Using Remote Sensing Tools and Linear Regression Model
... DOI: 10.4236/ars.2019.83005 82 Advances in Remote Sensing indices derived from the blue, green, red and near infra-red bands, were used to predict soil salinity from satellite images. After obtaining these indices from ...
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Utilizing dynamic treatment information for MACE prediction of acute coronary syndrome
... learning based approach to address the MACE prediction problem for ACS pa- tients during their ...proposed model can pre- dict the occurrence probabilities well of MACE by utiliz- ing a large volume ...
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Prediction of Heart Disease using Multiple Linear Regression Model
... and prediction. Varieties of data mining techniques for the prediction of heart diseases have been proposed with the varying level of success and ...is based on the number of attributes under ...
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Analysis of Support Vector Regression Model for Micrometeorological Data Prediction
... wavelet-SVM model that can obtain more detailed information contained in the time series process and produce better prediction ...SVM regression in these processes. Regression on wavelet ...
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Prediction of sitophilus oryzae gender using Logistic Regression model
... the model using Logistic Regression. This model been develop based on the numerical information of ...a model for identification and prediction of ...
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A Computational Model For Prediction Of Heart Disease Based On Logistic Regression With Gridsearchcv
... the model is to get the optimal values or parameters in order to get optimum ...the regression model, for better manipulation the ridge regression model is ...method. Model ...
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Prediction of gestational age by ultrasonogram using linear regression model
... The accuracy of fetal age assessment based on Biparietal Diameter was dependent on gestational age. Between 12 and 26 weeks gestation, the Biparietal Diameter was accurate to +/- 10-11 days. After 26 weeks ...
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Failure prediction of Chinese A share listed companies : comparisons using logistic regression model and neural network analysis : a thesis presented in partial fulfilment of the requirements for the degree of Master of Business Studies in Finance at Massey University, Palmerston North, New Zealand
... This study compares the relative prediction accuracy of corporate failure between two prediction methods -logistic regression model and neural network analysis- based on a sample of 3598[r] ...
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Reconstruction of Temporal Images by Gradient based Sequential Prediction
... nonlinear regression prediction model such as gradient adjusted temporal prediction procedure is applied to predict a temporal image for detecting the types of changes have occurred and is ...
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PLANT PROTECTION AND PEST CONTROL USING LOW COST SENSOR BASED EMBEDDED SYSTEM
... always based on experience or knowledge. Prediction is helpful in various fields and it brings out together the past and current data as a basis to develop reasonable expectations regarding the ...a ...
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