APPLICATION OF ARTIFICIAL NEURAL NETWORK METHOD IN DATA REDUCTION OF PROXIMATE ANALYSIS OF RAW COAL TO POWER PLANT
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APPLICATION OF ARTIFICIAL NEURAL NETWORK METHOD IN DATA REDUCTION OF PROXIMATE ANALYSIS OF RAW COAL TO POWER PLANT
Thermal Power GenerationIssue 4, Pages: 9-11(2000)
作者机构:
广东省电力试验研究所,广州,510600
作者简介:
基金信息:
DOI:
CLC:TP18
Published:2000
稿件说明:
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APPLICATION OF ARTIFICIAL NEURAL NETWORK METHOD IN DATA REDUCTION OF PROXIMATE ANALYSIS OF RAW COAL TO POWER PLANT[J]. Thermal power generation, 2000, (4): 9-11.
DOI:
APPLICATION OF ARTIFICIAL NEURAL NETWORK METHOD IN DATA REDUCTION OF PROXIMATE ANALYSIS OF RAW COAL TO POWER PLANT[J]. Thermal power generation, 2000, (4): 9-11.DOI:
APPLICATION OF ARTIFICIAL NEURAL NETWORK METHOD IN DATA REDUCTION OF PROXIMATE ANALYSIS OF RAW COAL TO POWER PLANT
An artificial neural network method is used in data reduction of raw coal proximate analysis for Zhanjiang Power Plant
by which the predicted caloric value of 95% raw coal is below the allowable deviation(300 J/g)of the national standards. It is consiered that this method could represent the nonlinear relationship between heating value and compositions of proximate analysis of raw coal to power plant.