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This paper proposes an efficient learning mechanism to build fuzzy rule-based systems through the construction of sparse least-squares support vector machines (LS-SVMs). In addition to the significantly reduced computational complexity in model training, the resultant LS-SVM-based fuzzy system is sparser while offers satisfactory generalization capability over unseen data. It is well known that the...
The Least Squares Support Vector Machine (LS-SVM) is a modified SVM with a ridge regression cost function and equality constraints. It has been successfully applied in many classification problems. But, the common issue for LS-SVM is that it lacks sparseness, which is a serious drawback in its applications. To tackle this problem, a fast approach is proposed in this paper for developing sparse LS-SVM...
Stage intelligent light can make outstanding light effects, and is very important intelligent lamp of modern stage and theater. In order to solve problems of the traditional 51 single chip, ARM processor with transplanted embedded Linux is used for control core of intelligent light. The stepper motor drive system of intelligent light is studied. The hardware and software of drive system are designed...
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