文献
J-GLOBAL ID:201702237065687661
整理番号:17A1492512
人工ニューラルネットワークモデリング及び粒子群最適化法を用いた海洋細菌Bacillus licheniformisによるε-ポリリジン生産の改良【Powered by NICT】
Improvement of ε-polylysine production by marine bacterium Bacillus licheniformis using artificial neural network modeling and particle swarm optimization technique
著者 (6件):
Bhattacharya Sourish
(Process Design and Engineering Cell, CSIR-Central Salt and Marine Chemicals Research Institute, Bhavnagar 364002, India)
,
Bhattacharya Sourish
(Academy of Scientific and Innovative Research (AcSIR), CSIR-Central Salt and Marine Chemicals Research Institute, Bhavnagar 364002, India)
,
Dineshkumar Ramalingam
(Department of Biotechnology, Indian Institute of Technology Kharagpur, West Bengal 721302, India)
,
Dhanarajan Gunaseelan
(Department of Biotechnology, Indian Institute of Technology Kharagpur, West Bengal 721302, India)
,
Sen Ramkrishna
(Department of Biotechnology, Indian Institute of Technology Kharagpur, West Bengal 721302, India)
,
Mishra Sandhya
(Salt & Marine Chemicals, CSIR-Central Salt and Marine Chemicals Research Institute, Bhavnagar 364002, India)
資料名:
Biochemical Engineering Journal
(Biochemical Engineering Journal)
巻:
126
ページ:
8-15
発行年:
2017年
JST資料番号:
W1014A
ISSN:
1369-703X
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
オランダ (NLD)
言語:
英語 (EN)