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Prediction of dissolved oxygen in Surma River by biochemical oxygen demand and chemical oxygen demand using the artificial neural networks (ANNs)

机译：利用人工神经网络（aNNs）预测生化需氧量和化学需氧量对苏尔马河溶解氧的影响

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A.A. Masrur Ahmed;
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1. Prediction of dissolved oxygen in Surma River by biochemical oxygen demand and chemical oxygen demand using the artificial neural networks (ANNs) [J] . A.A. Masrur Ahmed Journal of King Saud University-Engineering Sciences . 2017,第2期

机译：使用人工神经网络（ANN）通过生化需氧量和化学需氧量预测苏尔马河中的溶解氧
2. Prediction of dissolved oxygen in Surma River by biochemical oxygen demand and chemical oxygen demand using the artificial neural networks (ANNs) [J] . A.A. MasrurAhmed Journal of King Saud University: Physics and Mathematics . 2017,第2期

机译：使用人工神经网络（ANN）通过生化需氧量和化学需氧量预测苏尔马河中的溶解氧
3. Uncertainty assessment of the multilayer perceptron (MLP) neural network model with implementation of the novel hybrid MLP-FFA method for prediction of biochemical oxygen demand and dissolved oxygen: a case study of Langat River [J] . Raheli Bahare, Aalami Mohammad Taghi, El-Shafie Ahmed, Environmental earth sciences . 2017,第14期

机译：应用新型混合MLP-FFA方法预测生化需氧量和溶解氧的多层感知器（MLP）神经网络模型的不确定性评估：以兰加特河为例
4. Finite Element Method for Dissolved Oxygen and Biochemical Oxygen Demand in an Open Channel [C] . S. Hasadsri, M. Maleewong Biennial ISEM Conference on Ecological Modelling for Global Change and Coupled Human and Natural System . 2013

机译：开放通道中溶解氧和生物化学氧需求的有限元方法
5. A dissolved oxygen model and sediment oxygen demand study in the Athabasca River. [D] . Tian, Yinglun. 2005

机译：阿萨巴斯卡河中的溶解氧模型和沉积物需氧量研究。
6. Flame-Oxidized Stainless-Steel Anode as a Probe in Bioelectrochemical System-Based Biosensors to Monitor the Biochemical Oxygen Demand of Wastewater [O] . Qiaochu Liang, Takahiro Yamashita, Ryoko Yamamoto-Ikemoto, 2018

机译：火焰氧化不锈钢阳极作为基于生物电化学系统的生物传感器中的探针用于监测废水中的生物化学需氧量
7. Prediction of dissolved oxygen in Surma River by biochemical oxygen demand and chemical oxygen demand using the artificial neural networks (ANNs) [O] . Ahmed A.A. Masrur 2014

机译：使用人工神经网络（ANN）通过生化需氧量和化学需氧量预测苏尔马河中的溶解氧
8. Total Maximum Daily Loads of Carbonaceous Biochemical Oxygen Demand (CBOD) and Nitrogenous Biochemical Oxygen Demand (NBOD) for the Little Youghiogheny River. [R] . 2001

机译：小Youghiogheny河的碳质生化需氧量（CBOD）和氮气生化需氧量（NBOD）的最大日负荷总量。

Prediction of dissolved oxygen in Surma River by biochemical oxygen demand and chemical oxygen demand using the artificial neural networks (ANNs)

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