A Comparative Performance Analysis of Structured Neural Networks and Observers for CNC Feed Drive Disturbance Force Estimation

Date

2001-11-07

Author

Dölen, Melik
Lorenz, Robert

Metadata

Show full item record

Item Usage Stats

110
views

0
downloads

URI

https://hdl.handle.net/11511/87127

Collections

Unverified, Conference / Seminar

Suggestions

OpenMETU
Core

A comparative stationarity analysis of EEG signals RASOULZADEH, VESAL; Erkuş, Ekin Can; Yoğurt, Taha Alper; Ulusoy, İlkay; Zergeroglu, S. Aykan (2017-11-01) While developing models of brain functioning by using time series data, the stationary interval of the time series should be used to model the corresponding state of the brain. Here it is assumed that at the borders of stationarity, brain changes its state where a state is considered as a group of brain regions working together. If the whole nonstationary time series is used, many different brain states could be included in one model. However, it is very hard to decide the stationary intervals for such a co...
A comparative analysis of matched field processors for underwater acoustic source localization Sarıkaya, Tevfik Bahadır; Çiloğlu, Tolga; Department of Electrical and Electronics Engineering (2010) In this thesis, localization of the underwater sound sources using matched field processing technique is considered. Localization of the underwater sound sources is one of the most important problems encountered in underwater acoustics and signal processing. Many techniques were developed to localize sources in range, depth and bearing angle. However, most of these techniques do not consider or only slightly takes into account the environmental factors that dramatically effect the propagation of underwater ...
A comparative performance evaluation of scale invariant interest point detectors for infrared and visual images Emir, Erdem; Alatan, Abdullah Aydın; Department of Electrical and Electronics Engineering (2008) In this thesis, the performance of four state-of-the-art feature detectors along with SIFT and SURF descriptors in matching object features of mid-wave infrared, long-wave infrared and visual-band images is evaluated across viewpoints and changing distance conditions. The utilized feature detectors are Scale Invariant Feature Transform (SIFT), multiscale Harris-Laplace, multiscale Hessian-Laplace and Speeded Up Robust Features (SURF) detectors, all of which are invariant to image scale and rotation. Feature...
A Comparative evaluation of foreground / background segmentation algorithms Pakyürek, Muhammet; Akar, Gözde; Department of Electrical and Electronics Engineering (2012) Foreground Background segmentation is a process which separates the stationary objects from the moving objects on the scene. It plays significant role in computer vision applications. In this study, several background foreground segmentation algorithms are analyzed by changing their critical parameters individually to see the sensitivity of the algorithms to some difficulties in background segmentation applications. These difficulties are illumination level, view angles of camera, noise level, and range of ...
A comparative study of quadtree decomposition and constrained delaunay triangulation using MDP and artificial potential field based path planning Kandehir, Başe; Saranlı, Afşar; Department of Electrical and Electronics Engineering (2019) The general purpose of a mobile robot is moving from one point to another and perform certain tasks. To do so, it first computes a motion strategy and then tries to execute it. This is not feasible most of the time unless uncertainties of the real world is taken into account. Markov decision processes (MDPs) provide a mathematical system to deal with uncertainties of planning and execution stages. MDPs require finite set of states. Therefore, continuous space of the real world must be discretized. In this s...

Citation Formats

M. Dölen and R. Lorenz, “A Comparative Performance Analysis of Structured Neural Networks and Observers for CNC Feed Drive Disturbance Force Estimation,” 2001, vol. 11, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/87127.