68 research outputs found
The Construction of Support Vector Machine Classifier Using the Firefly Algorithm
The setting of parameters in the support vector machines (SVMs) is very important with regard to its accuracy and efficiency. In this paper, we employ the firefly algorithm to train all parameters of the SVM simultaneously, including the penalty parameter, smoothness parameter, and Lagrangian multiplier. The proposed method is called the firefly-based SVM (firefly-SVM). This tool is not considered the feature selection, because the SVM, together with feature selection, is not suitable for the application in a multiclass classification, especially for the one-against-all multiclass SVM. In experiments, binary and multiclass classifications are explored. In the experiments on binary classification, ten of the benchmark data sets of the University of California, Irvine (UCI), machine learning repository are used; additionally the firefly-SVM is applied to the multiclass diagnosis of ultrasonic supraspinatus images. The classification performance of firefly-SVM is also compared to the original LIBSVM method associated with the grid search method and the particle swarm optimization based SVM (PSO-SVM). The experimental results advocate the use of firefly-SVM to classify pattern classifications for maximum accuracy
Fuzzy Logic
Fuzzy Logic is becoming an essential method of solving problems in all domains. It gives tremendous impact on the design of autonomous intelligent systems. The purpose of this book is to introduce Hybrid Algorithms, Techniques, and Implementations of Fuzzy Logic. The book consists of thirteen chapters highlighting models and principles of fuzzy logic and issues on its techniques and implementations. The intended readers of this book are engineers, researchers, and graduate students interested in fuzzy logic systems
Malaysian bilateral trade relations and economic growth
This paper examines the structure and trends of Malaysian bilateral exports and imports and then investigates
whether these bilateral exports and imports have caused Malaysian economic growth. Although the structure of
Malaysia’s trade has changed quite significantly over the last three decades, the direction of Malaysia’s trade
remains generally the same. Broadly, ASEAN, the EU, East Asia, the US and Japan continue to be the
Malaysia’s major trading partners. The Granger causality tests have shown that it is the bilateral imports that
have caused economic growth in Malaysia rather than the bilateral exports
Exchange rate misalignments in ASEAN-5 countries
The purpose of this paper is to estimate the exchange rate misalignments for Indonesia, Malaysia, Philippines,
Singapore and Thailand before the currency crisis. By employing the sticky-price monetary exchange rate model
in the environment of vector error-correction, the results indicate that the Indonesia rupiah, Malaysian ringgit,
Philippines peso and Singapore dollar were overvalued before the currency crisis while Thai baht was
undervalued on the eve of the crisis. However, they suffered modest misalignment. Therefore, little evidence of
exchange misalignment is found to exist in 1997:2. In particular, Indonesia rupiah, Malaysia ringgit, Philippines
peso and Singapore dollar were only overvalued about 1 to 4 percent against US dollar while the Thai baht was
only 2 percent undervalued against US dollar
Rollins College General Catalog, 1973-1974
Rollins College catalogue 1973-1974 with list of faculty and students and courses by department
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