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Barrier Lyapunov Functions for the control of output-constrained nonlinear systems
TLDR
This paper presents control designs for single-input single-output (SISO) nonlinear systems in strict feedback form with an output constraint, and explores the use of an Asymmetric Barrier Lyapunov Function as a generalized approach that relaxes the requirements on the initial conditions. Expand
Application of support vector machines in financial time series forecasting
This paper deals with the application of a novel neural network technique, support vector machine (SVM), in financial time series forecasting. The objective of this paper is to examine theExpand
Support vector machine with adaptive parameters in financial time series forecasting
  • L. Cao, F. Tay
  • Computer Science, Medicine
  • IEEE Trans. Neural Networks
  • 1 November 2003
TLDR
SVM with adaptive parameters can both achieve higher generalization performance and use fewer support vectors than the standard SVM in financial forecasting. Expand
Modified support vector machines in financial time series forecasting
  • F. Tay, L. Cao
  • Mathematics, Computer Science
  • Neurocomputing
  • 1 October 2002
TLDR
A modified version of support vector machines, called C-ascending support vector machine, is proposed to model non-stationary financial time series, where the recent e-insensitive errors are penalized more heavily than the distant e- insensitive errors. Expand
Financial Forecasting Using Support Vector Machines
  • L. Cao, F. Tay
  • Computer Science
  • Neural Computing & Applications
  • 9 May 2001
TLDR
The generalisation error with respect to the free parameters of SVMs is investigated and it is demonstrated that it is advantageous to apply SVMs to forecast the financial time series. Expand
A Modified Chi2 Algorithm for Discretization
  • F. Tay, L. Shen
  • Computer Science
  • IEEE Trans. Knowl. Data Eng.
  • 1 May 2002
TLDR
The Chi2 algorithm, a modification to the ChiMerge method, automates the discretization process by introducing an inconsistency rate as the stopping criterion and it automatically selects the significance value and becomes a completely automatic discretized method. Expand
Adaptive Control of Electrostatic Microactuators With Bidirectional Drive
  • K. Tee, S. Ge, F. Tay
  • Mathematics, Computer Science
  • IEEE Transactions on Control Systems Technology
  • 1 March 2009
In this paper, adaptive control is presented for a class of single-degree-of-freedom (1DOF) electrostatic microactuator systems which can be actively driven bidirectionally. The control objective isExpand
Fault diagnosis based on Rough Set Theory
TLDR
Rough Set Theory as a new fault-diagnosing tool is used to identify the valve fault for a multi-cylinder diesel engine and it is shown that this new method is effective for valve fault diagnosis and is a new powerful tool that can be applied in contingency management. Expand
Economic and financial prediction using rough sets model
  • F. Tay, L. Shen
  • Computer Science
  • Eur. J. Oper. Res.
  • 16 September 2002
TLDR
The results show that the rough sets model is a promising alternative to the conventional methods for economic and financial prediction, and an effective tool for multi-attribute classification problems. Expand
Role of Silver Ions in Destabilization of Intermolecular Adhesion Forces Measured by Atomic Force Microscopy in Staphylococcus epidermidis Biofilms
TLDR
The potential use of atomic force microscopy as a tool to measure the intermolecular forces in biofilm structures and to study the effect of silver ions on sessile Staphylococcus epidermidis cell viability and stability is reported. Expand
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