[PDF][PDF] Analyzing the compressive strength of clinker mortars using approximate reasoning approaches-ANN vs MLR
In this paper, Artificial Neural Networks (ANN) and Multiple Linear Regression (MLR)
models were discussed to determine the compressive strength of clinker mortars cured for 1 …
models were discussed to determine the compressive strength of clinker mortars cured for 1 …
Assessment of Machine Learning Algorithms for Predicting Air Entrainment Rates in a Confined Plunging Liquid Jet Reactor
A Alazmi, BS Al-Anzi - Sustainability, 2023 - mdpi.com
A confined plunging liquid jet reactor (CPLJR) is an unconventional efficient and feasible
aerator, mixer and brine dispenser that operates under many operating conditions. Such …
aerator, mixer and brine dispenser that operates under many operating conditions. Such …
[PDF][PDF] 基于区间二型模糊神经网络的出水氨氮软测量
韩红桂， 陈治远， 乔俊飞， 张会清 - 化工学报, 2017 - hgxb.cip.com.cn
针对污水处理过程出水氨氮(ammonia nitrogen, NH4-N) 难以实时检测的问题,
提出了一种基于区间二型模糊神经网络(interval type-2 fuzzy neural networks, IT2FNN) …
提出了一种基于区间二型模糊神经网络(interval type-2 fuzzy neural networks, IT2FNN) …
Prediction of sludge settleability through artificial neural networks with optimized input variables
Y Zheng, Z Peng, H Xia, W Zhang - Water and Environment …, 2022 - Wiley Online Library
Sludge bulking is a major problem in activated sludge processes. It is of great practically
useful to predict the sludge settleability through water quality (influent and effluent) and the …
useful to predict the sludge settleability through water quality (influent and effluent) and the …
Using a Novel Algorithm Based on the Random Vector Functional Link Network and Multi-Verse Optimizer to Forecast Effluent Quality
H Shi, Z Wang, H Zhou, K Lin, S Li, X Zheng, Z Shen… - Sustainability, 2022 - mdpi.com
The treatment of wastewater is a complicated biological reaction process. Reliable effluent
prediction is critical in the scientific management of water treatment plants. This research …
prediction is critical in the scientific management of water treatment plants. This research …
Optimizing wastewater treatment through artificial intelligence: recent advances and future prospects
M Nagpal, MA Siddique, K Sharma… - Water Science & …, 2024 - iwaponline.com
Artificial intelligence (AI) is increasingly being applied to wastewater treatment to enhance
efficiency, improve processes, and optimize resource utilization. This review focuses on …
efficiency, improve processes, and optimize resource utilization. This review focuses on …
Modeling of milk lactose removal by column adsorption using artificial neural networks: Mlp and Rbf
MS Leite, MA Santos, EMF Costa, A Balieiro… - Chemical Industry …, 2019 - doiserbia.nb.rs
Artificial neural network (ANN) techniques are effective in modeling nonlinear processes,
are simple to implement and require low computational time. In this work, the lactose …
are simple to implement and require low computational time. In this work, the lactose …
Relevance of Artificial Intelligence in Wastewater Management
P Ramesh, K Suganya… - … and Challenges in …, 2022 - Wiley Online Library
Increasing water demand for utilization in various sectors throughout the world poses rapid
technological interventions in recycling and reuse of wastewater for ensuring environmental …
technological interventions in recycling and reuse of wastewater for ensuring environmental …
Gross parameters prediction of a granular-attached biomass reactor by means of multi-objective genetic-designed artificial neural networks: touristic pressure …
Abstract The Artificial Neural Networks by Multi-objective Genetic Algorithms (ANN-MOGA)
model has been applied to gross parameters data of a Sequencing Batch Biofilter Granular …
model has been applied to gross parameters data of a Sequencing Batch Biofilter Granular …
Determination and mapping the spatial distribution of radioactivity of natural spring water in the Eastern Black Sea Region by using artificial neural network method
CM Yeşilkanat, Y Kobya - Environmental monitoring and assessment, 2015 - Springer
In this study, radiological distribution of gross alpha, gross beta, 226 Ra, 232 Th, 40 K, and
137 Cs for a total of 40 natural spring water samples obtained from seven cities of the …
137 Cs for a total of 40 natural spring water samples obtained from seven cities of the …