Selection of training samples of the neural network in fermentation industry

Yun Feng Li; Jing Qi Yuan; Yao Feng Xue

Selection of training samples of the neural network in fermentation industry

Yun Feng Li^*
, Jing Qi Yuan
, Yao Feng Xue

^*此作品的通讯作者

Shanghai Jiao Tong University
East China University of Science and Technology

科研成果: 期刊稿件 › 文章 › 同行评审

2 引用（Scopus）

摘要

A new selection method, named Statistics Average Method, is proposed. With a three-layer BP network applied for total product prediction in penicillin production, the result indicates it can significantly reduce the number of training samples without affection the prediction accuracy. Compared with two other selection methods, Kohonen network selection and Kennard-Stone selection method, it is simpler and more feasible.

源语言	英语
页（从-至）	21-24
页数	4
期刊	Huagong Zidonghua Ji Yibiao/Control and Instruments in Chemical Industry
卷	31
期	6
出版状态	已出版 - 12月 2004
已对外发布	是

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@article{b5c644737f3147e090714e7558caf724,

title = "Selection of training samples of the neural network in fermentation industry",

abstract = "A new selection method, named Statistics Average Method, is proposed. With a three-layer BP network applied for total product prediction in penicillin production, the result indicates it can significantly reduce the number of training samples without affection the prediction accuracy. Compared with two other selection methods, Kohonen network selection and Kennard-Stone selection method, it is simpler and more feasible.",

keywords = "Fermentation, Neural network, State prediction, Training sample",

author = "Li, \{Yun Feng\} and Yuan, \{Jing Qi\} and Xue, \{Yao Feng\}",

year = "2004",

month = dec,

language = "英语",

volume = "31",

pages = "21--24",

journal = "Huagong Zidonghua Ji Yibiao/Control and Instruments in Chemical Industry",

issn = "1000-3932",

publisher = "Institute of Automation of Ministry of Chemical Engineering",

number = "6",

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TY - JOUR

T1 - Selection of training samples of the neural network in fermentation industry

AU - Li, Yun Feng

AU - Yuan, Jing Qi

AU - Xue, Yao Feng

PY - 2004/12

Y1 - 2004/12

N2 - A new selection method, named Statistics Average Method, is proposed. With a three-layer BP network applied for total product prediction in penicillin production, the result indicates it can significantly reduce the number of training samples without affection the prediction accuracy. Compared with two other selection methods, Kohonen network selection and Kennard-Stone selection method, it is simpler and more feasible.

AB - A new selection method, named Statistics Average Method, is proposed. With a three-layer BP network applied for total product prediction in penicillin production, the result indicates it can significantly reduce the number of training samples without affection the prediction accuracy. Compared with two other selection methods, Kohonen network selection and Kennard-Stone selection method, it is simpler and more feasible.

KW - Fermentation

KW - Neural network

KW - State prediction

KW - Training sample

UR - https://www.scopus.com/pages/publications/21144435249

M3 - 文章

AN - SCOPUS:21144435249

SN - 1000-3932

VL - 31

SP - 21

EP - 24

JO - Huagong Zidonghua Ji Yibiao/Control and Instruments in Chemical Industry

JF - Huagong Zidonghua Ji Yibiao/Control and Instruments in Chemical Industry

IS - 6

ER -

Selection of training samples of the neural network in fermentation industry

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