Twin support vector machine (TWSVM) was initially designed for binary classification. However, real-world problems often require the discrimination more than two categories. To tackle multi-class classification problem, in this paper, a multiple least squares twin support vector machine is proposed. Our Multi-LSTSVM solves K quadratic programming problems (QPPs) to obtain K hyperplanes, each pr...

In this paper, we formulate a least squares version of the one-class support vector fuzzy machine (LS one-class SVFM) which is combined with the fuzzy set theory. The parameters in the proposed algorithm, such as weight vector and bias term, are fuzzy numbers. Our model only needs to solve a system of linear equations, instead of a complex quadratic programming problem (QPP) solved in one-class...

Iron is an essential element used as supplement in different dosage-forms. Different time and expenditure-consuming methods introduced for detection and determination of elemental ions such as atomic absorption. In this research, two different and routine methods containing ATR-IR and atomic absorption were applied to define the amount of iron in 198 samples containing different concentrations ...

Prediksi harga material konstruksi menjadi salah satu metode untuk membantu perkembangan dunia di Indonesia. Sebanyak 85% dari total biaya merupakan material, sedangkan sisanya alat dan tenaga kerja. Material sering kali berkaitan dengan makroekonomi maupun komoditas baik secara nasional internasional. dilakukan menggunakan Least Squares Support Vector Machine (LS-SVM) variabel input berupa dat...

With the development of science and technology, more data have been produced. For many these datasets, only some labels. In order to make full use information in data, it is necessary classify them. this paper, we propose a strong sparse quadratic kernel-free least squares semi-supervised support vector machine (SSQLSS3VM), which add ℓ0norm regularization term sparse. An NP-hard problem arises ...