Multivariate statistics: a practical approach
Multivariate statistics: a practical approach
A Neural Network Expert System for Diagnosing and Treating Hypertension
Computer - Special issue on computer-based medical systems
Applications of neural network in regression analysis
Proceedings of the 14th annual conference on Computers and industrial engineering
Neural network models for intelligent support of managerial decision making
Decision Support Systems - Special issue on neural networks for decision support
A hybrid neural approach to combinatorial optimization
Computers and Operations Research - Special issue: artificial intelligence, evolutionary programming and operations research
Machine Learning
Neural networks and logistic regression: Part I
Computational Statistics & Data Analysis
Elements of artificial neural networks
Elements of artificial neural networks
Combining classifiers in text categorization
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
Neural network applications in business: a review and analysis of the literature (1988-95)
Decision Support Systems
Data mining solutions: methods and tools for solving real-world problems
Data mining solutions: methods and tools for solving real-world problems
Data mining: building competitive advantage
Data mining: building competitive advantage
Simulating Neural Networks with Mathematica
Simulating Neural Networks with Mathematica
Neural Networks for Statistical Modeling
Neural Networks for Statistical Modeling
Artificial Neural Networks: Approximation and Learning Theory
Artificial Neural Networks: Approximation and Learning Theory
A radial basis function approach to financial time series analysis
A radial basis function approach to financial time series analysis
Post-pruning in regression tree induction: An integrated approach
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
International Journal of Business Intelligence and Data Mining
Review: Neural networks and statistical techniques: A review of applications
Expert Systems with Applications: An International Journal
Using fuzzy neural network to explore the effect of internet on quality of life
ICCCI'10 Proceedings of the Second international conference on Computational collective intelligence: technologies and applications - Volume Part II
Effects of feature selection on the identification of students with learning disabilities using ANN
ICNC'06 Proceedings of the Second international conference on Advances in Natural Computation - Volume Part I
A comparison of regression methods for remote tracking of Parkinson's disease progression
Expert Systems with Applications: An International Journal
An intelligent model for the classification of children's occupational therapy problems
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Soft computing techniques in ensemble precipitation nowcast
Applied Soft Computing
Load forecasting accuracy through combination of trimmed forecasts
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part I
Application of hybrid case-based reasoning for enhanced performance in bankruptcy prediction
Information Sciences: an International Journal
A hybrid expert system approach for telemonitoring of vocal fold pathology
Applied Soft Computing
Hi-index | 12.06 |
Numerous articles comparing performances of statistical and Neural Networks (NNs) models are available in the literature, however, very few involved Classification and Regression Tree (CART) models in their comparative studies. We perform a three-way comparison of prediction accuracy involving nonlinear regression, NNs and CART models using a continuous dependent variable and a set of dichotomous and categorical predictor variables. A large dataset on smokers is used to run these models. Different prediction accuracy measuring procedures are used to compare performances of these models. The outcomes of predictions are discussed and the outcomes of this research are compared with the results of similar studies.