a chord-level regression approach using a neural
An Approach to Efficient Software Bug Prediction using Regression Analysis and Neural Networks
... on regression testing. Regression testing aims to uncover new ...of regression testing include rerunning previously completed tests and checking whether program behaviour has changed and whether ...
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An Approach to Carbon Emissions Prediction Using Generalized Regression Neural Network Improved by Genetic Algorithm
... generalized regression neural network (GRNN) in prediction, this paper improved the prediction method of ...emissions using the improved method, the increments of data were taken into ...
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A Support Vector Regression Approach for Three–Level Longitudinal Data
... Based on the simulation study 1, the generalisation and fitting performance of the proposed MLS-SVR models were the best among the fitted methods in all scenarios. According to the results of the first simulation study, ...
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Determinants of the level of indebtedness for Brazilian firms: A quantile regression approach
... difference between the QR and OLS estimators mainly indicates that QR does not follow the general trend observed in previous studies, which demonstrates the importance of using this method. QR better described the ...
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A spatial regression approach to FDI in Vietnam: province-level evidence
... quality. Using the provincial competiveness index (PCI) and its constituent components, Malesky (2007) reports that the investment attraction capacity of the provinces is positively related to the transparency of ...
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A regression tree approach using mathematical programming
... frequencies, chord lengths, angles of attack, free-stream velocities and suction side displace- ment thicknesses can predict the sound pressure level of an air- ...
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Modelling Systemic Risk using Neural Network Quantile Regression
... novel approach to estimate the conditional value at risk (CoVaR) of nancial ...Our approach is based on neural network quantile ...overall level of systemic ...
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Forecasting Stock Prices using Sentiment Information in Annual Reports A Neural Network and Support Vector Regression Approach
... realized using quantitative ...like neural networks and support vector regression, have shown promising results in the forecasting of stock price due to their ability to model complex non-linear ...
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A Regression Based Approach to Capturing the Level Dependence in the Volatility of Stock Returns
... covariance using daily high-low prices using Cov Ratio. We adopt a regression based approach incorporating the GARCH ...model using GARCH (1, 1) and Integrated GARCH (IGARCH (1, ...1) ...
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Software Development Effort Estimation – Neural Network Vs. Regression Modeling Approach
... software using standard ...estimation using NN soft computing ...by using the two different approaches and provides a conclusion as to which one is a better ...
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Modeling of a Thermal Power Plant using Neural Network and Regression Technique
... by using Neural Network and Regression technique. Neural Network can be improved to attain the desired accuracy level by training it on experimental ...data. Neural Network is an ...
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Probabilistic Spatial Regression using a Deep Fully Convolutional Neural Network
... spatial regression network described in Sec ...patch level spatial probability distributions for corners in each ...space using their known location, orientation and ...
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Predicting performance measures using linear regression and neural network: A comparison
... artificial neural network, Back Propagation Artificial Neural Network (BP-ANN), as an alternative predictive tool to multi-linear regression, for establishing the interrelationships among ...
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Token Level Metaphor Detection using Neural Networks
... built using the Python deep learning library Theano (Bastien et ...is using a lookup function to ex- tract existing, pre-trained word embeddings for all content words in the data ...dow approach ...
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Fingerprint Classification Using Kernel Smoothing Technique and Generalized Regression Neural Network and Probabilistic Neural Network
... Artificial Neural Network (ANN) is another popular method used for classification ...an approach for rectifying the rotation of images is ...Generalized Regression Neural Network (GRNN) and ...
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AN EFFICIENT APPROACH OF REGRESSION TESTING USING HIERARCHICAL DECOMPOSITION SLICING
... of regression testing is to ensure that bug fixes and new functionality introduced in a new version of a software do not adversely affect the correct functionality inherited from the previous ...Package ...
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A knowledge light approach to regression using case based reasoning
... housePrice ( y C 1 y C 2 ) and ( y C 3 y C 4 ) would be doubled or tripled to scale them to the appropriate level. Solving problems with normalized difference-cases increases the complexity of the algorithm ...
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Prediction of Construction Project Performance using Regression Analysis and Artificial Neural Network
... develop regression models and neural network models to predict cost performance, schedule performance, quality performance and satisfaction ...Linear Regression (MLR) and Artificial Neural ...
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Tool Life Prediction Model Using Regression and Artificial Neural Network Analysis
... Taguchi’s approach for conducting experiments. Two models (by regression and artificial neural network) for predicting tool life in end milling are ...the regression model and feed forward ...
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Soil Water Forecasting System using Deep Neural Network Regression Model
... In April 2010, the soil and common green plants samples in the downtown area of Zhzoyuan City were gathered to study the cadmium (Cd) pollution characteristics of plants and soils in Zhaoyuan city. The investigation area ...
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