Modeling and Multiresponse Optimization for Anaerobic Codigestion of Oil Refinery Wastewater and Chicken Manure by Using Artificial Neural Network and the Taguchi Method

<table class="figure-group"><tr class="fig-image" id="a"><td><object data="https://static.hindawi.com/articles/bmri/volume-2017/2036737/figures/2036737.fig.002a.svgz" name="2036737.fig.002a" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(a) </b>Temporal variation trends of total ammonia nitrogen (TAN) and free ammonia nitrogen (FAN) for different temperatures</td></tr><tr class="fig-image" id="b"><td><object data="https://static.hindawi.com/articles/bmri/volume-2017/2036737/figures/2036737.fig.002b.svgz" name="2036737.fig.002b" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(b) </b>Temporal variation trends of volatile fatty acids for different total solids levels</td></tr></table>

BioMed Research International

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Figure 2: Modeling and Multiresponse Optimization for Anaerobic Codigestion of Oil Refinery Wastewater and Chicken Manure by Using Artificial Neural Network and the Taguchi Method 

Figure 2 | Modeling and Multiresponse Optimization for Anaerobic Codigestion of Oil Refinery Wastewater and Chicken Manure by Using Artificial Neural Network and the Taguchi Method 