Neuro-Wavelet Networks applied to Parametric Characterization of Jominy Profiles of Steels
نویسندگان
چکیده
This work address the problem of extracting the Jominy hardness pro les of steels directly from the chemical composition. Wavelet and Neural networks provide very intresting results, especially when compared with classical methods. A hierarchical architecture is proposed, with a rst network used as a parametric modeler of the Jominy pro le, and a second one estimating parameters from the steel chemical composition. Suitable data preprocessing helps to reduce network size.
منابع مشابه
Neuro-wavelet parametric characterization of hardness profiles
This work compares a few attempts based on Neural and Wavelet networks, for extracting the Jominy hardness pro le of steels directly from the chemical composition. In particular, the paper proposes a multi-networks architecture, where a rst network is used as a parametric modeler of the Jominy pro le itself, while a second one is used as a parameter estimator from the steel chemical composition.
متن کاملParametric Characterization of Jominy Pro les in Steel Industry by Means of Wavelet and Neural Networks
This work compares a few attempts based on Wavelet and Neural networks, for extracting the Jominy hardness pro les of steels directly from the chemical composition. That is essentially a black-box modeling problem: Wavelet and Neural networks seem powerful, especially when compared with classical methods commonly found in literature. In particular, the paper proposes a multi-network architectur...
متن کاملWeighted Radial Basis Functions Networks Applied to Model Jominy Hardness Pro les of Steels
In this work several attemps are proposed for extracting the Jominy hardness pro les of steel directly from the steel chemical composition. It is essentially a black{box modelling problem: the neural approach seems powerful, especially compared with classical models commonly found in literature. Several network structures have been implemented, which all can be viewed under the uni cation parad...
متن کاملA robust wavelet based profile monitoring and change point detection using S-estimator and clustering
Some quality characteristics are well defined when treated as response variables and are related to some independent variables. This relationship is called a profile. Parametric models, such as linear models, may be used to model profiles. However, in practical applications due to the complexity of many processes it is not usually possible to model a process using parametric models.In these cas...
متن کاملThe use of wavelet - artificial neural network and adaptive neuro fuzzy inference system models to predict monthly precipitation
Precipitation forecasting due to its random nature in space and time always faced with many problems and this uncertainty reduces the validity of the forecasting model. Nowadays nonlinear networks as intelligent systems to predict such complex phenomena are widely used. One of the methods that have been considered in recent years in the fields of hydrology is use of wavelet transform as a moder...
متن کامل