Biosorption Parameter Estimation with Genetic Algorithm
نویسندگان
چکیده
منابع مشابه
Biosorption Parameter Estimation with Genetic Algorithm
In biosorption research, a fairly broad range of mathematical models are used to correlate discrete data points obtained from batch equilibrium, batch kinetic or fixed bed breakthrough experiments. Most of these models are inherently nonlinear in their parameters. Some of the models have enjoyed widespread use, largely because they can be linearized to allow the estimation of parameters by leas...
متن کاملNonlinear parameter estimation via the genetic algorithm
A modified genetic algorithm is used to solve the parameter identification problem for linear and nonlinear digital filters. Under suitable hypotheses, the estimation error is shown to converge in probability to zero. The scheme is also applied to feedforward and recurrent neural networks.
متن کاملUsing Genetic Algorithm for Parameter Estimation
This is a learning note of genetic algorithm.
متن کاملBlind Parameter Estimation with Genetic Algorithm in Wireless Fading Channels
In this paper, the performance of genetic algorithm (GA) is presented to estimate the blind channel parameters. 8-PSK signals are considered as modulation scheme. Channel is assumed as AWGN and has Rician probability distribution. Furthermore, channel is slow fading channel and channel parameters are assumed to be constant during the transmission of ten signals. Noisy and faded signals are obse...
متن کاملParameter Estimation with MOCK algorithm
Wine quality has been considered a difficult task that only few human expert could evaluate. However, it is infeasible to give all wine produced a quality label by one of those experts. In this project, we focus on the task of predicting wine quality from physicochemical properties via data mining. We propose a new algorithm for this task, called MOnte Carlo Kernel (MOCK), and compared its perf...
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: Water
سال: 2011
ISSN: 2073-4441
DOI: 10.3390/w3010177