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Trigonometric polynomial high order neural network group models for financial data simulation and predictionZhang, Jing Chun, University of Western Sydney, Faculty of Informatics, Science and Technology January 1998 (has links)
This thesis investigates a new method for financial data simulation using novel neural network models developed by the author. Using two improved models for financial data simulation and prediction, the trigonometric polynomial higher order neural network group models have been developed. The theoretical principles of these improved models are presented and demonstrated in the thesis. It is the first attempt to use trigonometric polynomial high order neural network group models for financial data simulation. We could not find any references to using trigonometric polynomial high order neural network group models for financial data simulation in the extensive literature search conducted for this thesis, including a thorough Internet search on this topic. The author has developed a computer program, called 'THONG'. The program, running on X-windows, is based on the new neural network models developed, and also uses group models. This program allows users to apply in practice his new analysis and prediction method. The 'THONG' program is a user-friendly GUI system. All the steps of the operation in this system are easily controlled using a mouse. Both system operation and system mode can be viewed during the processing of data. THONG models have proven capable of handling high frequency, high order nonlinear and discontinuous data. The results of processing the experimental data using the THONG financial simulator are presented in the thesis. These results confirm that the THONG group models converge without difficulty, and are considerably more accurate than traditional neural network models. / Doctor of Philosophy (PhD)
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Trigonometric polynomial high order neural network group models for financial data simulation & prediction /Chun Zhang, Jing. January 1998 (has links)
Thesis (M.A. Sc. [Hons.])--University of Western Sydney, Macarthur. Faculty of Informatics, Science and Technology. 1998.
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Návrh rozložení přibližovacích linek na základě fotogrammetrie v ThajskuPetrovičová, Lucia January 2019 (has links)
Suitable skidding trail layout is important in sustainable forestry system, thus can minimise the damages to trees and economical losses. In a cooperation between Mendel University in Brno and Kasetsart University in Bangkok a potential use of photogrammetry based skidding trail layout was evaluated. Certain plots of teak plantation in Thong Pha Phum were captured with and further processed in Agisoft Metashape software. On obtained orthophoto single trees were distinguished and understory trees for thinning from below were identified on Weighted Voronoi diagram base. On Kernel Density Estimation base a tree density estimation raster output were created. Considering irregular teak spacing a subjective approach for skidding trail layout design was applied, with emphasis to shorten skidding distances and reducing the possible damages to remaining trees and soils.
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Communication and management in a traditional Chinese/Thai poultry companyRasatapana, Nattakan 01 January 2003 (has links)
In Thailand a Chinese poultry company employs a traditional Chinese management style which is a didactic syle of leadership. While the company has dramatically grown in the last twenty years, the management structure has not changed to accomodate the organization's growth. The company is experiencing increased turnover and high absenteeism. The purpose of this study is to identify the threats and weaknesses facing the company in terms of decision making, job descriptions, and communication and management structure.
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