Showing 1 - 10 of 38
A novel technique is presented based on self-organizing neural networks for prediction of fertilizer distribution …
Persistent link: https://www.econbiz.de/10010749594
material and structural parameters. This paper presents two industrial cases using support vector regression (SVR) for vehicle … vehicle front end structure subject to frontal crash, where SVR is utilized to construct crashworthiness responses. The use of … multiple instances of SVR with different kernel types and hyper-parameters simultaneously and select the best accurate one for …
Persistent link: https://www.econbiz.de/10010751816
techniques. On the other hand, as a new generation of learning algorithms, support vector regression (SVR) was developed by … regression (LP-SVR) with wavelet kernel was proposed, and the connection between LP-SVR with wavelet kernel and wavelet networks … was analyzed. In particular, the potential of the LP-SVR for nonlinear dynamical system identification was investigated. …
Persistent link: https://www.econbiz.de/10011050372
In the context of non-linear dynamics, next neighbor prediction methods have been successfully applied to univariate … time series. We generalize these methods, in particular, center-of-mass-prediction (COM-prediction) and local linear … prediction (LL-prediction), to multivariate time series. The use of multivariate prediction techniques is especially interesting …
Persistent link: https://www.econbiz.de/10010750183
A neural network-based robust adaptive control design scheme is developed for a class of nonlinear systems represented by input–output models with an unknown nonlinear function and unmodeled dynamics. By on-line approximating the unknown nonlinear functions and unmodeled dynamics by radial...
Persistent link: https://www.econbiz.de/10010749761
A novel approach for solving robust parameter estimation problems is presented for processes with unknown-but-bounded errors and uncertainties. An artificial neural network is developed to calculate a membership set for model parameters. Techniques of fuzzy logic control lead the network to its...
Persistent link: https://www.econbiz.de/10010749898
The training of some types of neural networks leads to separable non-linear least squares problems. These problems may be ill-conditioned and require special techniques. A robust algorithm based on the Variable Projections method of Golub and Pereyra is designed for a class of feed-forward...
Persistent link: https://www.econbiz.de/10010749923
This paper is concerned with the solution of the principal component analysis (PCA) problem with the aid of neural networks (NNs). After an overview of the basic NN-based PCA concepts and a listing of the available algorithms, two criteria for evaluating PCA NN algorithms are proposed. Then, a...
Persistent link: https://www.econbiz.de/10010749999
This paper presents an overview of an analysis method based on self-organizing maps (SOM) which was applied to an activated sludge treatment process in a pulp mill. The aim of the study was to determine whether the neural network modeling method could be a useful and time-saving way to analyze...
Persistent link: https://www.econbiz.de/10010751850
Morphological transformations are efficient methods for shape analysis and representation. In this paper two morphological shape descriptors are described for object feature representation. Neural networks are then employed for object recognition and classification. Various coding schemes and...
Persistent link: https://www.econbiz.de/10010869975