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PREDICTING FINANCIAL DISTRESS OF CHINESE LISTED COMPANIES USING ROUGH SET THEORY AND SUPPORT VECTOR MACHINE
CAO, YU; WAN, GUANGYU; WANG, FUQIANG - In: Asia-Pacific Journal of Operational Research (APJOR) 28 (2011) 01, pp. 95-109
), in order to find a better early warning method and enhance the prediction accuracy. After several comparative experiments … prediction. …
Persistent link: https://www.econbiz.de/10008852562
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Predicting energy consumption of multiproduct pipeline using artificial neural networks
Zeng, Chunlei; Wu, Changchun; Zuo, Lili; Zhang, Bin; … - In: Energy 66 (2014) C, pp. 791-798
ANN models have very high accuracy for prediction and better forecasting performance than the other models. The proposed …
Persistent link: https://www.econbiz.de/10011054809
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BANKRUPTCY PREDICTION BY USING SUPPORT VECTOR MACHINES AND GENETIC ALGORITHMS
Mahdi, Salehi; Neda, Rostami - In: Studies in Business and Economics 8 (2013) 1, pp. 104-114
ratios on accuracy of bankruptcy prediction. In according to some limitations in traditional statistical models, we used two …. Besides, they can decreases accuracy of prediction and may wrong introduce results of the research. Moreover, Support Vector … accuracy of prediction and reduce bankruptcy risk and its heavy cost will be decreased. This research focuses on identifying …
Persistent link: https://www.econbiz.de/10010639278
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An S-Transform and Support Vector Machine (SVM)-Based Online Method for Diagnosing Broken Strands in Transmission Lines
Jiang, Xingliang; Xia, Yunfeng; Hu, Jianlin; Zhang, Zhijin - In: Energies 4 (2011) 9, pp. 1278-1300
During their long-term outdoor field service, overhead transmission lines will be exposed to strikes by lightning, corrosion by chemical contaminants, ice-shedding, wind vibration of conductors, line galloping, external destructive forces and so on, which will generally cause a series of latent...
Persistent link: https://www.econbiz.de/10011030888
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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
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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
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Advanced investment strategies in environment of financial markets
Budík, Jan - In: Ekonomika a managment 2012 (2012) 3, pp. 82-92
The main goal of this paper is proposing of economic model of advanced investment strategies based on a priori knowledge of expert for financial decision making. There is described a priori knowledge in detail, which is based on volatility increasing of selected financial instruments in selected...
Persistent link: https://www.econbiz.de/10011195040
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Financial Development, Human Capital and Economic Growth
WAN, Guihong - In: Asian Agricultural Research 06 (2014) 10
Financial development and human capital are the important driving forces of economic and social development in Shandong Province, and the level of them as well as the degree of coordination between the two not only affects the transformation of economic development pattern in Shandong Province,...
Persistent link: https://www.econbiz.de/10011095891
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Support vector machines maximizing geometric margins for multi-class classification
Tatsumi, Keiji; Tanino, Tetsuzo - In: TOP: An Official Journal of the Spanish Society of … 22 (2014) 3, pp. 815-840
<Para ID="Par1">Machine learning is a very interesting and important branch of artificial intelligence. Among many learning models, the support vector machine is a popular model with high classification ability which can be trained by mathematical programming methods. Since the model was originally formulated...</para>
Persistent link: https://www.econbiz.de/10010995321
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Daily Forecasting of Dam Water Levels: Comparing a Support Vector Machine (SVM) Model With Adaptive Neuro Fuzzy Inference System (ANFIS)
Hipni, Afiq; El-shafie, Ahmed; Najah, Ali; Karim, Othman; … - In: Water Resources Management 27 (2013) 10, pp. 3803-3823
Reservoir planning and management are critical to the development of the hydrological field and necessary to Integrated Water Resources Management. The growth of forecasting models has resulted in an excellent model known as the Support Vector Machine (SVM). This model uses linearly separable...
Persistent link: https://www.econbiz.de/10010997485