Infrared spectral classification with artificial neural networks and classical pattern recognition
- Author(s):
- Mayfield,H.T. ( Air Force Research Lab. )
- Eastwood,D.
- Burggraf,L.W.
- Publication title:
- Chemical and biological sensing : 24-25 April 2000, Orlando, USA
- Title of ser.:
- Proceedings of SPIE - the International Society for Optical Engineering
- Ser. no.:
- 4036
- Pub. Year:
- 2000
- Page(from):
- 54
- Page(to):
- 65
- Pub. info.:
- Bellingham, Wash.: SPIE - The International Society for Optical Engineering
- ISSN:
- 0277786X
- ISBN:
- 9780819436627 [0819436623]
- Language:
- English
- Call no.:
- P63600/4036
- Type:
- Conference Proceedings
Similar Items:
1
Conference Proceedings
Classification of infrared spectra of organophosphorus compounds with artificial neural networks
SPIE - The International Society for Optical Engineering |
7
Conference Proceedings
Artificial convolution neural network with wavelet kernels for disease pattern recognition
Society of Photo-optical Instrumentation Engineers |
SPIE - The International Society for Optical Engineering |
8
Conference Proceedings
Infrared microspectroscopy of benign and neoplastic prostate:correlation of spectral patterns with histopathology
SPIE - The International Society for Optical Engineering |
SPIE-The International Society for Optical Engineering |
9
Conference Proceedings
Some novel approaches in laser remote sensing of natural waters based on recognition of spectral patterns with the help of artificial neural networks
SPIE - The International Society of Optical Engineering |
SPIE - The International Society for Optical Engineering |
SPIE-The International Society for Optical Engineering |
SPIE-The International Society for Optical Engineering |
11
Conference Proceedings
Photoluminescence and vibrational spectroscopic studies on weathered uranium oxides
SPIE - The International Society for Optical Engineering |
SPIE-The International Society for Optical Engineering |
12
Conference Proceedings
Optical fiber sensor for use in process water systems utilizing FFT-based techniques and artificial neural network pattern recognition
SPIE-The International Society for Optical Engineering |