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Support vector machines with evolutionary feature selection for default prediction

Härdle, Wolfgang Karl; Prastyo, Dedy Dwi; Hafner, Christian - 2012

Predicting default probabilities is at the core of credit risk management and is becoming more and more important for banks in order to measure their client's degree of risk, and for firms to operate successfully. The SVM with evolutionary feature selection is applied to the CreditReform...

Persistent link: https://www.econbiz.de/10010318756

A high-dimensional classification approach based on class-dependent feature subspace

Chen, Fuzan; Wu, Harris; Dou, Runliang; Li, Minqiang - In: Industrial Management & Data Systems 117 (2017) 10, pp. 2325-2339

Purpose The purpose of this paper is to build a compact and accurate classifier for high-dimensional classification. Design/methodology/approach A classification approach based on class-dependent feature subspace (CFS) is proposed. CFS is a class-dependent integration of a support vector machine...

Persistent link: https://www.econbiz.de/10014826307

Volatility forecasting using support vector regression and a hybrid genetic algorithm

Santamaría-Bonfil, Guillermo; Frausto-Solís, Juan; … - In: Computational economics 45 (2015) 1, pp. 111-133

Persistent link: https://www.econbiz.de/10010511334

Using an ensemble classifier based on sequential floating forward selection for financial distress prediction problem

Fallahpour, Saeid; Lakvan, Eisa Norouzian; Zadeh, … - In: Journal of retailing and consumer services 34 (2017), pp. 159-167

Persistent link: https://www.econbiz.de/10011629038

Application of optimized machine learning techniques for prediction of occupational accidents

Sarkar, Sobhan; Vinay, Sammangi; Raj, Rahul; Maiti, J.; … - In: Computers & operations research : and their … 106 (2019), pp. 210-224

Persistent link: https://www.econbiz.de/10012014413

Sustainable development early warning and financing risk management of resource-based industrial clusters using optimization algorithms

Wang, Yawen; Xue, Weixian - In: Journal of Enterprise Information Management 35 (2022) 4/5, pp. 1374-1391

Purpose The purpose is to analyze and discuss the sustainable development (SD) and financing risk assessment (FRA) of resource-based industrial clusters under the Internet of Things (IoT) economy and promote the application of Machine Learning methods and intelligent optimization algorithms in...

Persistent link: https://www.econbiz.de/10014860096

PREDICTION OF SEVERE THUNDERSTORMS WITH MINIMAL A PRIORI INFORMATION

CHAUDHURI, SUTAPA; CHATTOPADHYAY, SURAJIT - In: Advances in Complex Systems (ACS) 08 (2005) 01, pp. 75-86

A genetic algorithm (GA) is introduced to fix ranges of parameters, in a quantitative manner, pertaining to forecasting the genesis of severe thunderstorms in the pre-monsoon season over Calcutta (22°32′, 88°20′) in the northeastern part of India (20°–24°N latitude, 85°–93°E...

Persistent link: https://www.econbiz.de/10005080948

Prediction and Research on Vegetable Price Based on Genetic Algorithm and Neural Network Model

Guo, Qiang; Luo, Chang-shou; Wei, Qing-feng - In: Asian Agricultural Research 03 (2011) 05

Considering the complexity of vegetables price forecast, the prediction model of vegetables price was set up by … genetic algorithm and BP neural network are compared. The results show that the absolute error of prediction data is in the … scale of 10%; in the scope that the absolute error in the prediction data is in the scope of 20% and 15%. The accuracy of …

Persistent link: https://www.econbiz.de/10009365742

A multi-product green supply chain under government supervision with price and demand uncertainty

Hafezalkotob, Ashkan; Zamani, Soma - In: Journal of Industrial Engineering International 15 (2019) 1, pp. 193-206

In this paper, a bi-level game-theoretic model is proposed to investigate the effects of governmental financial intervention on green supply chain. This problem is formulated as a bi-level program for a green supply chain that produces various products with different environmental pollution...

Persistent link: https://www.econbiz.de/10013470771

A Comparison between Memetic Algorithm and Genetic Algorithm for an Integrated Logistics Network with Flexible Delivery Path

Behmanesh, Elham; Pannek, Jürgen - In: Operations Research Forum 2 (2021) 3

The distribution/allocation problem is known as one of the most comprehensive strategic decision. In real-world cases, it is impossible to solve a distribution/allocation problem in traditional ways with acceptable time. Hence researchers develop efficient non-traditional techniques for the...

Persistent link: https://www.econbiz.de/10014501769