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Found 6273 publications

Detection of radially localized and poloidally symmetric structures in the poloidal flow of tokamak plasmas

M. Berta J. Adamek M. Hron S. Zoletnik A. Bencze J. Stöckel

Publication Name: 32nd Eps Conference on Plasma Physics 2005 Eps 2005 Held with the 8th International Workshop on Fast Ignition of Fusion Targets Europhysics Conference Abstracts

Publication Date: 2005-12-01

Volume: 3

Issue: Unknown

Page Range: 1994-1997

Description:

No description provided

Open Access: Yes

DOI: DOI not available

Cognitive psychological structure of education and research in geotechnics

P. Scharle

Publication Name: Proceedings of the 16th International Conference on Soil Mechanics and Geotechnical Engineering Geotechnology in Harmony with the Global Environment

Publication Date: 2005-12-01

Volume: 4

Issue: Unknown

Page Range: 2859-2862

Description:

Post secondary education provides an introduction to models, and develops model selection and application skills. Recent developments in cognitive psychology offer good possibilities for differentiating between levels of knowledge. It is prudent to define four levels of preparation in the technical-engineering professions, particularly in their relationship to models. As a conclusion, it turns out that professional geotechnicians are required to have MSc level of competency. The approach also yields answers to some debated questions of modelling and solving geotechnical problems in the framework of engineering mechanics.

Open Access: Yes

DOI: DOI not available

On the topology of two dimensional generalized cell systems

Ibolya Zsoldos J. Janik Tamás Réti

Publication Name: Recent Advances in Multidisciplinary Applied Physics

Publication Date: 2005-12-01

Volume: Unknown

Issue: Unknown

Page Range: 559-564

Description:

No description provided

Open Access: Yes

DOI: 10.1016/B978-008044648-6.50085-9

Reconstruction of accidents involving commercial vehicles rollover

Gyula Kőfalvi

Publication Name: European Automobile Engineers Cooperation 10th Eaec European Automotive Congress Eaec 2005

Publication Date: 2005-12-01

Volume: 3

Issue: Unknown

Page Range: 1056-1069

Description:

No description provided

Open Access: Yes

DOI: DOI not available

An hybrid training method for B-spline neural networks

Cristiano Cabrita János Botzheim António E. Ruano László T. Kóczy

Publication Name: 2005 IEEE International Workshop on Intelligent Signal Processing Proceedings

Publication Date: 2005-12-01

Volume: Unknown

Issue: Unknown

Page Range: 165-170

Description:

Current and past research has brought up new views related to the optimization of neural networks. For a fixed structure, second order methods are seen as the most promising. From previous works we have shown how second order methods are of easy applicability to a neural network. Namely, we have proved how the Levenberg-Marquard possesses not only better convergence but how it can assure the convergence to a local minima. However, as any gradient-based method, the results obtained depend on the startup point. In this work, a reformulated Evolutionary algorithm - the Bacterial Programming for Levenberg-Marquardt is proposed, as an heuristic which can be used to determine the most suitable starting points, therefore achieving, in most cases, the global optimum. © 2005 IEEE.

Open Access: Yes

DOI: DOI not available

Fuzzy rule interpolation for multidimensional input spaces with applications: A case study

Tamás D. Gedeon Domonkos Tikk László T. Kóczy Kok Wai Wong

Publication Name: IEEE Transactions on Fuzzy Systems

Publication Date: 2005-12-01

Volume: 13

Issue: 6

Page Range: 809-819

Description:

Fuzzy rule based systems have been very popular in many engineering applications. However, when generating fuzzy rules from the available information, this may result in a sparse fuzzy rule base. Fuzzy rule interpolation techniques have been established to solve the problems encountered in processing sparse fuzzy rule bases. In most engineering applications, the use of more than one input variable is common, however, the majority of the fuzzy rule interpolation techniques only present detailed analysis to one input variable case. This paper investigates characteristics of two selected fuzzy rule interpolation techniques for multidimensional input spaces and proposes an improved fuzzy rule interpolation technique to handle multidimensional input spaces. The three methods are compared by means of application examples in the field of petroleum engineering and mineral processing. The results show that the proposed fuzzy rule interpolation technique for multidimensional input spaces can be used in engineering applications. © 2005 IEEE.

Open Access: Yes

DOI: 10.1109/TFUZZ.2005.859316

Fuzzy models, identification and applications

János Botzheim László T. Kóczy

Publication Name: Iccc 2005 IEEE 3rd International Conference on Computational Cybernetics Proceedings

Publication Date: 2005-12-01

Volume: 2005

Issue: Unknown

Page Range: 13-19

Description:

This paper gives a brief overview of fuzzy model identification techniques. The paper discusses how the membership functions of a fuzzy system can be extracted from an input/output data (pattern) set without human interference. There are several methods used for rule extraction known from the literature. The bacterial algorithm is an evolutionary technique that was inspired by the microbial evolution phenomenon. The Levenberg-Marquardt algorithm is an advanced gradient type optimization method that has been developed initially for neural networks and is introduced here for the optimization of the fuzzy rule base. Fuzzy clustering is presented also as another alternative way for the rule extraction. In the part describing the model the fuzzy rule interpolation method and the approach of hierarchical rule bases are introduced. Combining fuzzy rule interpolation with the use of hierarchically structured fuzzy rule bases leads to the reduction of the fuzzy algorithms' complexity. Hierarchical fuzzy modeling by clustering techniques is also introduced in the paper.

Open Access: Yes

DOI: 10.1109/ICCCYB.2005.1511538

An hybrid training method for B-spline neural networks

No authors available

Publication Name: 2005 IEEE International Workshop on Intelligent Signal Processing - Proceedings

Publication Date: 2005-12-01

Volume:

Issue:

Page Range: 165-170

Description:

Current and past research has brought up new views related to the optimization of neural networks. For a fixed structure, second order methods are seen as the most promising. From previous works we have shown how second order methods are of easy applicability to a neural network. Namely, we have proved how the Levenberg-Marquard possesses not only better convergence but how it can assure the convergence to a local minima. However, as any gradient-based method, the results obtained depend on the startup point. In this work, a reformulated Evolutionary algorithm - the Bacterial Programming for Levenberg-Marquardt is proposed, as an heuristic which can be used to determine the most suitable starting points, therefore achieving, in most cases, the global optimum. © 2005 IEEE.

Open Access: No

DOI: DOI not available

Environmental influence on the fine structure of dummy-head HRTFs

No authors available

Publication Name: Forum Acusticum Budapest 2005: 4th European Congress on Acustics

Publication Date: 2005-12-01

Volume:

Issue:

Page Range: 2529-2534

Description:

The directional filtering of the outer ears is a significant step during the evaluation of spatial information. A computer-controlled dummy-head measurement system was developed to measure the HRTFs in huge amount and with increased spatial resolution. Effects and common properties of objects near the head (glasses, hair, baseball cap) were measured. Changes in the HRTFs due to the acoustical environment will be presented as function of frequency and azimuth for different elevations on 2D polar diagrams. Differences of about 1 dB are evaluated in the fine structure of the measured HRTFs and conclusions are drawn for the relevance of HRTF reproduction in binaural synthesis.

Open Access: No

DOI: DOI not available