Set-based parameter estimation for symmetric network motifs
نویسندگان
چکیده
منابع مشابه
Neural Network Based Approach for Automotive Brake Light Parameter Estimation
The advantages offered by the electronic component LED (Light Emitting Diode) have caused a quick and wide application of this device in replacement of incandescent lights. However, in its combined application, the relationship between the design variables and the desired effect or result is very complex and it becomes difficult to model by conventional techniques. This work consists of the dev...
متن کاملPENTA: Parameter Estimation Network for Target Approximation
In this paper, a novel neuro-fuzzy system has been introduced for the use of approximation and prediction of complex plants. The proposed system uses a parameter estimation network to provide coefficients of a linear combination, dynamically and then identifies a plant by approximating its target signal. So we have called it PENTA which stands for Parameter Estimation Network for Target Approxi...
متن کاملPlane parameter estimation by edge set matching
A new method for plane hypothesis generation based on a sweeping process is presented. The method is feature based in contradiction to earlier methods which rely on image correlation. The features used are edgel elements (’edgels’) which are extracted in a preprocessing step. The experiments show an improvement in speed as well as in accuracy.
متن کاملAircraft Parameter Estimation using Neural Network based Algorithm
Aircraft Parameter estimation is probably the most outstanding and illustrated example of the system identification methodology. In the past the most widely used parameter estimation methods have been Equation error method, Output error method, Maximum likelihood method and Filter error method. In this paper an algorithm based on neural modeling and Gauss-Newton optimization is proposed to esti...
متن کاملDynamic level set regularization for large distributed parameter estimation problems
This article considers inverse problems of shape recovery from noisy boundary data, where the forward problem involves the inversion of elliptic PDEs. The piecewise constant solution, a scaling and translation of a characteristic function, is described in terms of a smoother level set function. A fast and simple dynamic regularization method has been recently proposed that has a robust stopping...
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: IFAC Proceedings Volumes
سال: 2011
ISSN: 1474-6670
DOI: 10.3182/20110828-6-it-1002.03108