Prediction of the type of milk and degree of ripening in cheeses by means of artificial neural networks with data concerning fatty acids and near infrared spectroscopy

Infrared Spectroscopy ◽

Near Infrared ◽

Quantitative determination of nutrient content in poultry manure by near infrared spectroscopy based on artificial neural networks

Poultry Science ◽

10.3382/ps.2009-00210 ◽

2009 ◽

Vol 88 (12) ◽

pp. 2496-2503 ◽

Cited By ~ 14

Author(s):

L.J. Chen ◽

L. Xing ◽

L.J. Han

Keyword(s):

Neural Networks ◽

Infrared Spectroscopy ◽

Quantitative Determination ◽

Near Infrared ◽

Poultry Manure ◽

Nutrient Content ◽

Nondestructive Quantitative Analysis of Cimetidine Tablets Using Artificial Neural Networks in Near‐Infrared Spectroscopy

Spectroscopy Letters ◽

10.1081/sl-200042299 ◽

2005 ◽

Vol 38 (1) ◽

pp. 1-11 ◽

Cited By ~ 9

Author(s):

Ying Dou ◽

Yulin Ren ◽

Lirong Teng ◽

Ying Liang

Keyword(s):

Neural Networks ◽

Infrared Spectroscopy ◽

Quantitative Analysis ◽

Near Infrared ◽

In-vivo demonstration of irrigated lesion morphology using near-infrared spectroscopy and artificial neural networks

Advanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XIX ◽

10.1117/12.2578483 ◽

2021 ◽

Author(s):

Soo Young Park ◽

Rajinder Singh-Moon ◽

Haiqiu Yang ◽

Vivek Iyer ◽

Amardeep Saluja ◽

...

Keyword(s):

Neural Networks ◽

Infrared Spectroscopy ◽

Near Infrared ◽

Artificial Neural ◽

Lesion Morphology

Quantitative analysis of cefalexin based on artificial neural networks combined with modified genetic algorithm using short near-infrared spectroscopy

Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy ◽

10.1016/j.saa.2013.02.047 ◽

2013 ◽

Vol 109 ◽

pp. 308-312 ◽

Cited By ~ 3

Author(s):

Yanfu Huan ◽

Guodong Feng ◽

Bin Wang ◽

Yulin Ren ◽

Qiang Fei

Keyword(s):

Genetic Algorithm ◽

Neural Networks ◽

Infrared Spectroscopy ◽

Quantitative Analysis ◽

Near Infrared ◽

Modified Genetic Algorithm ◽

Application of artificial neural networks to the classification of soils from São Paulo state using near-infrared spectroscopy

The Analyst ◽

10.1039/b107533k ◽

2001 ◽

Vol 126 (12) ◽

pp. 2194-2200 ◽

Cited By ~ 32

Author(s):

Paulo Henrique Fidêncio ◽

Itziar Ruisánchez ◽

Ronei Jesus Poppi

Keyword(s):

Neural Networks ◽

Infrared Spectroscopy ◽

Near Infrared ◽

Sao Paulo ◽

Paulo State ◽

São Paulo State ◽

The prediction of total anthocyanin concentration in red-grape homogenates using visible-near-infrared spectroscopy and artificial neural networks

Analytica Chimica Acta ◽

10.1016/j.aca.2007.05.019 ◽

2007 ◽

Vol 594 (1) ◽

pp. 107-118 ◽

Cited By ~ 66

Author(s):

L.J. Janik ◽

D. Cozzolino ◽

R. Dambergs ◽

W. Cynkar ◽

M. Gishen

Keyword(s):

Neural Networks ◽

Infrared Spectroscopy ◽

Near Infrared ◽

Total Anthocyanin ◽

Anthocyanin Concentration ◽

Artificial Neural ◽

Red Grape

Lecture Notes in Computer Science - Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues ◽

Use of Artificial Neural Networks in Near-Infrared Spectroscopy Calibrations for Predicting Glucose Concentration in Urine

10.1007/978-3-540-87442-3_128 ◽

2008 ◽

pp. 1040-1046 ◽

Cited By ~ 4

Author(s):

Weiling Liu ◽

Weidong Yang ◽

Libing Liu ◽

Qilian Yu

Keyword(s):

Neural Networks ◽

Infrared Spectroscopy ◽

Glucose Concentration ◽

Near Infrared ◽

Hydroxyl and acid number prediction in polyester resins by near infrared spectroscopy and artificial neural networks

Analytica Chimica Acta ◽

10.1016/j.aca.2004.01.053 ◽

2004 ◽

Vol 511 (2) ◽

pp. 313-322 ◽

Cited By ~ 34

Author(s):

Emilio Marengo ◽

Marco Bobba ◽

Elisa Robotti ◽

Marcello Lenti

Keyword(s):

Neural Networks ◽

Infrared Spectroscopy ◽

Near Infrared ◽

Acid Number ◽

Polyester Resins ◽

Principal Components-Artificial Neural Networks for Predicting SSC and Firmness of Fruits based on Near Infrared Spectroscopy

10.13031/2013.23177 ◽

2007 ◽

Author(s):

Xiaping Fu ◽

Yibin Ying ◽

Huirong Xu ◽

Ying Zhou

Keyword(s):

Neural Networks ◽

Infrared Spectroscopy ◽

Principal Components ◽

Near Infrared ◽

Classification and characterization of thermally modified timber using visible and near-infrared spectroscopy and artificial neural networks: a comparative study on the performance of different NDE methods and ANNs

Wood Science and Technology ◽

10.1007/s00226-019-01120-0 ◽

2019 ◽

Vol 53 (5) ◽

pp. 1093-1109 ◽

Cited By ~ 6

Author(s):

Vahid Nasir ◽

Sepideh Nourian ◽

Zhu Zhou ◽

Sohrab Rahimi ◽

Stavros Avramidis ◽

...

Keyword(s):

Neural Networks ◽

Infrared Spectroscopy ◽

Comparative Study ◽

Near Infrared ◽