Using financial ratio data from 2006 and 2007, this study uses a three-fold cross validation scheme to compare the classification pre diction of bankrupt firms by robust logistic regression with Bianco Yohai (BY) estimator versus maximum likelihood (ML) regression. With both 2007 data, BY improves in training set prediction testing set. In an out sample test, correctly predicts bankruptcy for L...

guaranteed to find a global extremism. Another, the lease square (LS) versions of SVM, called as LS-SVM, is also investigated for classification [3] and regression (LS-SVMR) [4]. In these LS-SVM formulations on works with equality instead of inequality constraints and a sum squared error cost function as it is frequently used in the training of traditional neural networks. This reformulation gr...

This paper presents a robust ∞ H fuzzy controller for a class of T-S time-delay discrete fuzzy bilinear system (DFBS). Firstly, a discrete robust ∞ H fuzzy controller is proposed to stabilize the T-S time-delay DFBS with disturbance. Secondly, based on the Schur complement and some variable transformation, the stability conditions of the overall fuzzy control system are formulated by linear mat...

In this study, an adaptive fuzzy sliding-mode control (AFSMC) system is adopted to control the position of an induction servo motor. The AFSMC system comprises the fuzzy control design and the robust control design. In the fuzzy control design a fuzzy controller is designed to mimic an ideal control law. In the robust control design a robust controller is designed to compensate the approximatio...