The nature of statistical learning theory
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OmeGA: A Competent Genetic Algorithm for Solving Permutation and Scheduling Problems
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Adaptive Systems: An Introduction
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Support Vector Machines and the Bayes Rule in Classification
Data Mining and Knowledge Discovery
A Simple Decomposition Method for Support Vector Machines
Machine Learning
Asymptotic behaviors of support vector machines with Gaussian kernel
Neural Computation
An experimental comparison of performance measures for classification
Pattern Recognition Letters
Fuzzy case-based reasoning for coping with construction disputes
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Fault diagnosis of power transformer based on support vector machine with genetic algorithm
Expert Systems with Applications: An International Journal
Using support vector machine with a hybrid feature selection method to the stock trend prediction
Expert Systems with Applications: An International Journal
A systematic analysis of performance measures for classification tasks
Information Processing and Management: an International Journal
A study of cross-validation and bootstrap for accuracy estimation and model selection
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
Performance evaluation for classification methods: A comparative simulation study
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Electromechanical equipment state forecasting based on genetic algorithm - support vector regression
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Prediction of construction litigation outcome using a split-step PSO algorithm
ICONIP'06 Proceedings of the 13th international conference on Neural Information Processing - Volume Part II
Classifiers selection in ensembles using genetic algorithms for bankruptcy prediction
Expert Systems with Applications: An International Journal
Review: Data mining techniques and applications - A decade review from 2000 to 2011
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
A neural network approach to predicting price negotiation outcomes in business-to-business contexts
Expert Systems with Applications: An International Journal
Journal of Biomedical Informatics
An approach for analyzing the reliability of industrial systems using soft-computing based technique
Expert Systems with Applications: An International Journal
Intelligent Systems Research in the Construction Industry
Expert Systems with Applications: An International Journal
Flexible management of repetitive construction processes by an intelligent support system
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
A hybrid intelligent system for medical data classification
Expert Systems with Applications: An International Journal
Tourism demand forecasting using novel hybrid system
Expert Systems with Applications: An International Journal
Hi-index | 12.05 |
Hybrid system is a potential tool to deal with construction engineering and management problems. This study proposes an optimized hybrid artificial intelligence model to integrate a fast messy genetic algorithm (fmGA) with a support vector machine (SVM). The fmGA-based SVM (GASVM) is used for early prediction of dispute propensity in the initial phase of public-private partnership projects. Particularly, the SVM mainly provides learning and curve fitting while the fmGA optimizes SVM parameters. Measures in term of accuracy, precision, sensitivity, specificity, and area under the curve and synthesis index are used for performance evaluation of proposed hybrid intelligence classification model. Experimental comparisons indicate that GASVM achieves better cross-fold prediction accuracy compared to other baseline models (i.e., CART, CHAID, QUEST, and C5.0) and previous works. The forecasting results provide the proactive-warning and decision-support information needed to manage potential disputes.