System reliability forecasting by support vector machines with genetic algorithms

By Ping-Feng Pai. 2006

131 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering, Management Science and Operations Research

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Electrical and Electronic Engineering

1. Kwok-Wing Chau
2. Sercan Karaoglu
3. Ugur Arpaci
4. Lin Qiu
5. Wenchao Wang
6. Serkan Ayvaz
7. Chun-tian Cheng

In Management Science and Operations Research

1. Kwok-Wing Chau
2. Sercan Karaoglu
3. Ugur Arpaci
4. Lin Qiu
5. Wenchao Wang
6. Serkan Ayvaz
7. Chun-tian Cheng
8. M. Ugur Gudelek

Citations in the corpus

• A Deep Learning Approach for Optimization of Systematic Signal Detection in Financial Trading Systems with Big Data (2017, methodology): “From data mining perspective, some studies investigated application of Decision tree and Support vector machines in trading signal detection [1], [21].”
• A comparison of performance of several artificial intelligence methods for forecasting monthly discharge time series (2009, methodology): “Recently, there are several methods developed to identify the parameters, such as the simulated annealing algorithms (Pai and Hong, 2005), GA (Pai, 2006) and the shuffled complex evolution algorithm (SCE-UA) (Lin et al., 2006; Yu et al., 2004).”