Parameter Estimation of Shared Frailty Models Based on Particle Swarm Optimization
نویسندگان
چکیده
منابع مشابه
Parameter estimation of nonlinear econometric models using particle swarm optimization
Global optimization is an essential component of econometric modeling. Optimization in econometrics is often difficult due to irregular cost functions characterized by multiple local optima. The goal of this paper is to apply a relatively new stochastic global technique, particle swarm optimization, to the well-known but difficult disequilibrium problem. Because of its co-operative nature and b...
متن کاملParticle Swarm Optimization Trained Neural Network for Aquifer Parameter Estimation
Numerical simulation in aquifers require knowledge of parameters that govern flow through aquifers, however, at times, these parameters are not available. Estimation of such parameters has thus gained importance in the recent years and researchers have suggested various ways by which these parameters can be obtained. Amongst the various methods used for parameter estimation, Artificial Neural N...
متن کاملParameter Estimation of Chaotic Dynamical Systems Using Quantum-behaved Particle Swarm Optimization Based on Hybrid Evolution
In this study, a quantum-behaved particle swarm optimization (QPSO) based on hybrid evolution (HEQPSO) approach is proposed to estimate parameters of chaotic dynamic systems, in which the proposed HEQPSO algorithm combines the conceptions of genetic algorithm (GA) and adaptive annealing learning algorithm with the QPSO algorithm. That is, the mutation strategy in GA is used for conquering prema...
متن کاملParameter estimation of bilinear systems based on an adaptive particle swarm optimization
Bilinear models can approximate a large class of nonlinear systems adequately and usually with considerable parsimony in the number of coefficients required. This paper presents the application of Particle Swarm Optimization (PSO) algorithm to solve both offline and online parameter estimation problem for bilinear systems. First, an Adaptive Particle Swarm Optimization (APSO) is proposed to inc...
متن کاملA New Particle Swarm Evolutionary Optimization for Parameter Estimation of Biological Models
The development of reliable biological models has become an important issue in systems biology. These models are constructed using differential algebraic equations to represent the dynamic perturbation of the biochemical quantities within the cells. However, these models heavily depend on the set of parameters that signify the physiology of the systems such as reaction rates and kinetic constan...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Statistics and Probability
سال: 2016
ISSN: 1927-7040,1927-7032
DOI: 10.5539/ijsp.v6n1p48