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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
271

Fabric defect detection by wavelet transform and neural network

Lee, Tin-chi., 李天賜. January 2004 (has links)
published_or_final_version / abstract / toc / Electrical and Electronic Engineering / Master / Master of Philosophy
272

Fast evoked potential estimation by artificial neural networks

馮順明, Fung, Shun-ming. January 1999 (has links)
published_or_final_version / abstract / Electrical and Electronic Engineering / Doctoral / Doctor of Philosophy
273

Fabric surface inpection by fourier analysis and neural network

陳志豪, Chan, Chi-ho. January 2001 (has links)
published_or_final_version / Electrical and Electronic Engineering / Master / Master of Philosophy
274

A reconfigurable neural network for industrial sensory systems

梁耀祥, Leung, Yiu-cheung. January 2000 (has links)
published_or_final_version / Industrial and Manufacturing Systems Engineering / Master / Master of Philosophy
275

Resource management for handoff control in wireless/mobile networks using artificial neural networks

He, Changhua, 何昌華 January 2001 (has links)
published_or_final_version / Industrial and Manufacturing Systems Engineering / Master / Master of Philosophy
276

High impedance fault detection and overvoltage protection in low voltage power systems

袁綺珊, Yuen, Yee-shan, Cherry. January 1998 (has links)
published_or_final_version / Electrical and Electronic Engineering / Master / Master of Philosophy
277

Hydrological applications of MLP neural networks with back-propagation

Fernando, Thudugala Mudalige K.G. January 2002 (has links)
published_or_final_version / Civil Engineering / Master / Master of Philosophy
278

Nonlinear models for neural networks.

Brittain, Susan. January 2000 (has links)
The most commonly used applications of hidden-layer feed forward neural networks are to fit curves to regression data or to provide a surface from which a classification rule can be found. From a statistical viewpoint, the principle underpinning these networks is that of nonparametric regression with sigmoidal curves being located and scaled so that their sum approximates the data well, and the underlying mechanism is that of nonlinear regression, with the weights of the network corresponding to parameters in the regression model, and the objective function implemented in the training of the network defining the error structure. The aim ofthe present study is to use these statistical insights to critically appraise the reliability and the precision of the predicted outputs from a trained hiddenlayer feed forward neural network. / Thesis (M.Sc.)-University of Natal, Pietermaritzburg, 2000.
279

Neural networks constructed using families of dense subsets of L[subscript]2(R) functions and their capabilities in efficient and flexible training

Kuai, Wenming 08 1900 (has links)
No description available.
280

The application of artificial neural networks for end-point trajectory control of flexible-link manipulators

Register, Andrew H. 08 1900 (has links)
No description available.

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