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Title: Neural network system and methods for analysis of organic materials and structures using spectral data

Patent ·
OSTI ID:868814
 [1];  [2];  [3]
  1. Athens, GA
  2. Suwanee, GA
  3. Fredricksberg, DK
+ Show Author Affiliations

Apparatus and processes for recognizing and identifying materials. Characteristic spectra are obtained for the materials via spectroscopy techniques including nuclear magnetic resonance spectroscopy, infrared absorption analysis, x-ray analysis, mass spectroscopy and gas chromatography. Desired portions of the spectra may be selected and then placed in proper form and format for presentation to a number of input layer neurons in an offline neural network. The network is first trained according to a predetermined training process; it may then be employed to identify particular materials. Such apparatus and processes are particularly useful for recognizing and identifying organic compounds such as complex carbohydrates, whose spectra conventionally require a high level of training and many hours of hard work to identify, and are frequently indistinguishable from one another by human interpretation.

Research Organization:
University of Georgia Research Foundation, Inc. (Athens, GA)
Sponsoring Organization:
USDOE
DOE Contract Number:
FG09-85ER13426; FG09-87ER13810
Assignee:
University of Georgia Research Foundation, Inc. (Athens, GA)
Patent Number(s):
US 5218529
OSTI ID:
868814
Country of Publication:
United States
Language:
English

References (11)

Neural network applications in chemistry begin to appear journal April 1989
Modeling chemical process systems via neural computation journal April 1990
A network system for image segmentation conference January 1989
A neural network model for selective attention in visual pattern recognition journal October 1986
Computational neuroscience journal September 1988
Computing with neural circuits: a model journal August 1986
Predicting the secondary structure of globular proteins using neural network models journal August 1988
Detection of explosives in checked airline baggage using an artificial neural system conference January 1989
Neural Network Models for Promoter Recognition journal June 1989
Protein secondary structure prediction with a neural network. journal January 1989
Pattern recognition of the 1H NMR spectra of sugar alditols using a neural network journal August 1989

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Related Subjects

neural
network
methods
analysis
organic
materials
structures
spectral
data
apparatus
processes
recognizing
identifying
characteristic
spectra
obtained
via
spectroscopy
techniques
including
nuclear
magnetic
resonance
infrared
absorption
x-ray
mass
gas
chromatography
desired
portions
selected
placed
proper
form
format
presentation
input
layer
neurons
offline
trained
according
predetermined
training
process
employed
identify
particular
particularly
useful
compounds
complex
carbohydrates
conventionally
require
level
hours
hard
frequently
indistinguishable
human
interpretation
resonance spectroscopy
gas chromatography
organic compound
organic materials
magnetic resonance
neural network
organic compounds
particularly useful
nuclear magnetic
organic material
gas chromatograph
mass spectroscopy
particular materials
particular material
training process
neural net
desired portions
desired portion
materials via
/702/700/706/