An investigation in size reduction in neural networks Public Deposited

http://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/ns064835h

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  • In this thesis, the reduction of neural networks is studied. A new, largely automatic method is developed for reducing a neural network, and its capabilities are analyzed and compared with current methods. An example is presented that is irreducible via existing techniques, but is reducible by the new method. Factors affecting convergence to solutions using the back propagation learning method are discussed. In addition, the heuristic of adding hidden units to a neural network to obtain convergence is analyzed mathematically.
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  • File scanned at 300 ppi (Monochrome) using ScandAll PRO 1.8.1 on a Fi-6770A in PDF format. CVista PdfCompressor 5.0 was used for pdf compression and textual OCR.
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  • description.provenance : Made available in DSpace on 2013-07-22T16:29:10Z (GMT). No. of bitstreams: 1 WarrenAndrewHoward1990.pdf: 356051 bytes, checksum: faf9fb30cc28c259ad6193605c195f79 (MD5) Previous issue date: 1989-08-15
  • description.provenance : Submitted by Kaylee Patterson (kdpscanner@gmail.com) on 2013-05-13T20:39:22Z No. of bitstreams: 1 WarrenAndrewHoward1990.pdf: 356051 bytes, checksum: faf9fb30cc28c259ad6193605c195f79 (MD5)
  • description.provenance : Approved for entry into archive by Patricia Black(patricia.black@oregonstate.edu) on 2013-07-22T16:29:10Z (GMT) No. of bitstreams: 1 WarrenAndrewHoward1990.pdf: 356051 bytes, checksum: faf9fb30cc28c259ad6193605c195f79 (MD5)
  • description.provenance : Approved for entry into archive by Patricia Black(patricia.black@oregonstate.edu) on 2013-05-14T15:30:01Z (GMT) No. of bitstreams: 1 WarrenAndrewHoward1990.pdf: 356051 bytes, checksum: faf9fb30cc28c259ad6193605c195f79 (MD5)

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