{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,4,5]],"date-time":"2022-04-05T10:06:07Z","timestamp":1649153167086},"reference-count":0,"publisher":"World Scientific Pub Co Pte Lt","issue":"02","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Neur. Syst."],"published-print":{"date-parts":[[1992,1]]},"abstract":"<jats:p> Thermal images of the human body, when obtained at different wavelengths of infrared radiation, offer a means of eliminating several sources of error which can occur in single-wavelength thermal imaging procedures. Algebraic treatment of image data, however, utilizing nonlinear functions derived from integration over Planck\u2019s law of radiation distribution, proves to be extremely sensitive to experimental errors in measurement and truncation errors in computation. The neural network backpropagation algorithm has been applied to thermal data processing which has resulted in a more stable and error-tolerant method of data reduction. Trained on a computed ideal data set, this algorithm has been shown to more reliably process actual data. <\/jats:p>","DOI":"10.1142\/s0129065792000164","type":"journal-article","created":{"date-parts":[[2004,11,23]],"date-time":"2004-11-23T22:29:42Z","timestamp":1101248982000},"page":"199-207","source":"Crossref","is-referenced-by-count":0,"title":["NEURAL NETWORK ANALYSIS OF THERMAL IMAGE DATA"],"prefix":"10.1142","volume":"03","author":[{"given":"Shahram","family":"Hejazi","sequence":"first","affiliation":[{"name":"Departments of Electrical and Computer Engineering and Biophysical Sciences, State University of New York at Buffalo, Buffalo, NY 14214, USA"}]},{"given":"Stephen M.","family":"Bauer","sequence":"additional","affiliation":[{"name":"Departments of Electrical and Computer Engineering and Biophysical Sciences, State University of New York at Buffalo, Buffalo, NY 14214, USA"}]},{"given":"Robert A.","family":"Spangler","sequence":"additional","affiliation":[{"name":"Departments of Electrical and Computer Engineering and Biophysical Sciences, State University of New York at Buffalo, Buffalo, NY 14214, USA"}]}],"member":"219","published-online":{"date-parts":[[2011,11,21]]},"container-title":["International Journal of Neural Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S0129065792000164","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,6]],"date-time":"2019-08-06T21:54:03Z","timestamp":1565128443000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/abs\/10.1142\/S0129065792000164"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[1992,1]]},"references-count":0,"journal-issue":{"issue":"02","published-online":{"date-parts":[[2011,11,21]]},"published-print":{"date-parts":[[1992,1]]}},"alternative-id":["10.1142\/S0129065792000164"],"URL":"https:\/\/doi.org\/10.1142\/s0129065792000164","relation":{},"ISSN":["0129-0657","1793-6462"],"issn-type":[{"value":"0129-0657","type":"print"},{"value":"1793-6462","type":"electronic"}],"subject":[],"published":{"date-parts":[[1992,1]]}}}