Prediction and classification of different phases in a fermentation using neural networks

Laurent Simon; M. Nazmul Karim; Amanda Schreiweis

doi:10.1023/A:1008854315264

Prediction and classification of different phases in a fermentation using neural networks

Laurent Simon, M. Nazmul Karim, Amanda Schreiweis

Research output: Contribution to journal › Article › peer-review

14 Scopus citations

Abstract

Neural Networks were developed to identify different phases in the growth cycle of a recombinant strain of Bacillus subtilis. The network performance was enhanced by adding the first and second derivatives of the cultivation sample absorbance. The new architecture was then coupled to a Jordan network with locally recurrent processing elements in order to forecast the stages of the fermentation based on data collected during the first 5 hours.

Original language	English (US)
Pages (from-to)	301-304
Number of pages	4
Journal	Biotechnology Techniques
Volume	12
Issue number	4
DOIs	https://doi.org/10.1023/A:1008854315264
State	Published - 1998
Externally published	Yes

All Science Journal Classification (ASJC) codes

Biochemistry
Applied Microbiology and Biotechnology

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10.1023/A:1008854315264

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title = "Prediction and classification of different phases in a fermentation using neural networks",

abstract = "Neural Networks were developed to identify different phases in the growth cycle of a recombinant strain of Bacillus subtilis. The network performance was enhanced by adding the first and second derivatives of the cultivation sample absorbance. The new architecture was then coupled to a Jordan network with locally recurrent processing elements in order to forecast the stages of the fermentation based on data collected during the first 5 hours.",

author = "Laurent Simon and Karim, \{M. Nazmul\} and Amanda Schreiweis",

note = "Funding Information: Financial support was provided by the National Science Foundation, the Colorado State University Foundation, and the Colorado State University Experiment Station.",

year = "1998",

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AU - Karim, M. Nazmul

AU - Schreiweis, Amanda

N1 - Funding Information: Financial support was provided by the National Science Foundation, the Colorado State University Foundation, and the Colorado State University Experiment Station.

PY - 1998

Y1 - 1998

N2 - Neural Networks were developed to identify different phases in the growth cycle of a recombinant strain of Bacillus subtilis. The network performance was enhanced by adding the first and second derivatives of the cultivation sample absorbance. The new architecture was then coupled to a Jordan network with locally recurrent processing elements in order to forecast the stages of the fermentation based on data collected during the first 5 hours.

AB - Neural Networks were developed to identify different phases in the growth cycle of a recombinant strain of Bacillus subtilis. The network performance was enhanced by adding the first and second derivatives of the cultivation sample absorbance. The new architecture was then coupled to a Jordan network with locally recurrent processing elements in order to forecast the stages of the fermentation based on data collected during the first 5 hours.

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JO - Biotechnology Techniques

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Prediction and classification of different phases in a fermentation using neural networks

Abstract

All Science Journal Classification (ASJC) codes

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