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Experimental Optimization and Modeling of Sodium Sulfide Production from H2S-Rich Off-Gas via Response Surface Methodology and Artificial Neural Network

机译：通过响应面法和人工神经网络通过H2S富含废气生产硫化钠生产的实验优化和建模

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Fatemeh Bashipour; Amir Rahimi; Saied Nouri Khorasani; Abbas Naderinik;
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年度 2017
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1. Experimental Optimization and Modeling of Sodium Sulfide Production from H2S-Rich Off-Gas via Response Surface Methodology and Artificial Neural Network [J] . Fatemeh Bashipour, Amir Rahimi, Saied Nouri Khorasani, Oil & gas science and technology . 2017,第2期

机译：响应面法和人工神经网络对富H2S废气中硫化钠生产的实验优化和建模
2. Experimental Optimization and Modeling of Sodium Sulfide Production from H2S-Rich Off-Gas via Response Surface Methodology and Artificial Neural Network [J] . Bashipour Fatemeh, Rahimi Amir, Khorasani Saied Nouri, Oil & gas science and technology . 2017,第2期

机译：通过响应表面方法和人工神经网络通过H2S富含废气生产硫化钠生产的实验优化和建模
3. Modelling and optimization of syngas production by methane dry reforming over samarium oxide supported cobalt catalyst: response surface methodology and artificial neural networks approach [J] . Ayodele Bamidele V., Khan Maksudur R., Nooruddin Safdar Sk, Clean technologies and environmental policy . 2017,第4期

机译：氧化sa负载钴催化剂上甲烷干重整制合成气的建模和优化：响应面方法和人工神经网络方法
4. Advanced modeling of a wastewater treatment plant, using response surface methodology (RSM) and artificial neural networks (ANN), for optimizing the operation conditions [C] . Salgado-Reyna A., Soto-Regalado E., Gómez-González R., AIChE annual meeting . 2012

机译：使用响应面方法（RSM）和人工神经网络（ANN）对废水处理厂进行高级建模，以优化操作条件
5. Optimization of a centrifugal electrospinning process using Response Surface Methods and Artificial Neural Networks. [D] . Greenawalt, Frank E. 2014

机译：使用响应面法和人工神经网络优化离心电纺丝工艺。
6. Modeling and optimization of fermentation variables for enhanced production of lactase by isolated Bacillus subtilis strain VUVD001 using artificial neural networking and response surface methodology [O] . T. C. Venkateswarulu, K. Vidya Prabhakar, R. Bharath Kumar, 2017

机译：使用人工神经网络和响应面方法对分离的枯草芽孢杆菌菌株VUVD001增强乳糖酶生产的发酵变量进行建模和优化
7. A modeling study by response surface methodology and artificial neural network on culture parameters optimization for thermostable lipase production from a newly isolated thermophilic sp. strain ARM [O] . 2008

机译：通过响应面方法和人工神经网络对培养参数优化进行建模研究，以从新分离的嗜热菌种生产热稳定脂肪酶。应变ARM

Experimental Optimization and Modeling of Sodium Sulfide Production from H2S-Rich Off-Gas via Response Surface Methodology and Artificial Neural Network

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