Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Leong-Kwan Li"'
Autor:
Sally S. L. Shao, Leong-Kwan Li
Publikováno v:
Numerical Algebra, Control & Optimization. 4:193-207
Recurrent neural networks (RNNs) have emerged as a promising tool in modeling nonlinear dynamical systems. The convergence is one of the most important issues of concern among the dynamical properties for the RNNs in practical applications. The reaso
Publikováno v:
Applied Soft Computing. 13:2857-2862
Feedforward neural networks are the most commonly used function approximation techniques in neural networks. By the universal approximation theorem, it is clear that a single-hidden layer feedforward neural network (FNN) is sufficient to approximate
Publikováno v:
Risk and Decision Analysis. 4:59-68
In this paper, we propose a fast numerical method to evaluate discretely monitored derivatives. The key is to compute the involved probability integrals interactively. Our method can avoid the "curse of dimensionality" that most other methods suffer.
Autor:
Wai Man Tse1 rtse@business.hku.hk, Leong Kwan Li2 malblkli@polyu.edu.hk, Kai Wang Ng3 hrntnkw@hkucc.hku.hk
Publikováno v:
Management Science. Mar2001, Vol. 47 Issue 3, p383. 11p. 1 Diagram.
Publikováno v:
Journal of Computational and Applied Mathematics. 235(13):3921-3931
In this paper, American put options on zero-coupon bonds are priced under a single factor model of short-term rate. The linear complementarity problem of the option value is solved numerically by a penalty method, by which the problem is transformed
Publikováno v:
Journal of Industrial & Management Optimization. 7:385-400
Given a task of tracking a trajectory, a recurrent neural network may be considered as a black-box nonlinear regression model for tracking unknown dynamic systems. An error function is used to measure the difference between the system outputs and the
Autor:
Sally S. L. Shao, Leong-Kwan Li
Publikováno v:
Neural Network World. 21:393-406
We study the discrete-time recurrent neural network that derived from the Leaky-integrator model and its application to compression of infra-red spectrum. Our results show that the discrete-time Leaky-integrator recurrent neural network (RNN) model c
Publikováno v:
Journal of Risk & Insurance. 75:167-192
We derive a risk-neutral pricing model for discrete dynamic guaranteed funds with geometric Gaussian underlying security price process. We pro pose a dynamic hedging strategy by adding a gamma factor to the conven tional delta. Simulation results dem
Publikováno v:
ESAIM: Control, Optimisation and Calculus of Variations. 12:770-785
In the present paper, we consider a wave system that is fixed at one end and a boundary control input possessing a partial time delay of weight (1 � µ) is applied over the other end. Using a simple boundary velocity feedback law, we show that the
Publikováno v:
European Journal of Operational Research. 154:764-778
Interest rate swaps generally involve two firms with different credit ratings. A quality spread differential (QSD) is observed to exist at different maturities for firm debts with different credit ratings. The quality spread differential allows two f