کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
8406057 | 1544898 | 2018 | 15 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Artificial Neuro-Fuzzy Inference System (ANFIS) based validation of laccase production using RSM model
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موضوعات مرتبط
علوم زیستی و بیوفناوری
علوم کشاورزی و بیولوژیک
علوم کشاورزی و بیولوژیک (عمومی)
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Artificial Neuro-Fuzzy Inference System (ANFIS) based validation of laccase production using RSM model Artificial Neuro-Fuzzy Inference System (ANFIS) based validation of laccase production using RSM model](/preview/png/8406057.png)
چکیده انگلیسی
By using RSM maximum laccase yield was achieved 7.4â¯Ãâ¯104 nkatâ¯Lâ1 from γ-proteobacterium JB in best combination of the factors, pH 8.0, 210â¯rpm, 100â¯ÂµM, CuSO4 after 60â¯h of incubation time. In this paper an ANFIS was designed and trained by inputting 75% of the total combinations of factors (pH, rpm, CuSO4 and incubation time) along with their respective laccase yield as produced by the conventional system of experimentation. The trained system was tested on 25% of the total combinations of factors (pH, rpm, CuSO4 and incubation time) along with their respective laccase yield as produced by the conventional system of experimentation. The training phase and testing phase error reported by the ANFIS is 0.084573 and 0.12647 respectively which are quite tolerable while dealing with the limited actual experiment results. The ANFIS laccase yield prediction results are in consonance with those produced by the RSM system and in fact are closer to the actual laccase yield.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Biocatalysis and Agricultural Biotechnology - Volume 14, April 2018, Pages 235-240
Journal: Biocatalysis and Agricultural Biotechnology - Volume 14, April 2018, Pages 235-240
نویسندگان
Mukesh Kumar, Gursharan Singh, Shailendra Kumar Arya, Jasvinder Singh Bhatti, Prince Sharma,