A GIS-based artificial neural network model for spatial distribution of tuberculosis across the continental United States

A Mollalo, L Mao, P Rashidi, GE Glass - International journal of …, 2019 - mdpi.com
Despite the usefulness of artificial neural networks (ANNs) in the study of various complex
problems, ANNs have not been applied for modeling the geographic distribution of …

[PDF][PDF] An improved radial basis function networks based on quantum evolutionary algorithm for training nonlinear datasets

EA Lim, WH Tan, AK Junoh - IAES …, 2019 - download.garuda.kemdikbud.go.id
The term Radial Basis Function networks (RBFN) is associated with radial basis function
(RBF) in single-layered networks with structure as shown in Figure 1. Radial Basis Function …

Artificial neural network (ANN) approach to modelling of selected nitrogen forms removal from oily wastewater in anaerobic and aerobic GSBR process phases

P Ofman, J Struk-Sokołowska - Water, 2019 - mdpi.com
Paper presents artificial neural network models (ANN) approximating concentration of
selected nitrogen forms in wastewater after sequence batch reactor operating with aerobic …

[PDF][PDF] 基于类脑模块化神经网络的污水处理过程关键出水参数软测量

蒙西, 乔俊飞, 韩红桂 - 自动化学报, 2019 - aas.net.cn
摘要针对城市污水处理过程关键出水参数难以实时检测的问题, 文中提出了一种基于类脑模块化
神经网络(Brain-like modular neural network, BLMNN) 的关键出水参数软测量方法. 首先 …

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 …

Interval prediction of effluent TP for wastewater treatment plants

W Chai, L Guo, X Li, J Tang - 2019 IEEE Conference on Control …, 2019 - ieeexplore.ieee.org
In view of the difficulty of real-time measurement of the effluent total phosphorus (TP) for a
wastewater treatment plant (WWTP), in this paper, a new TP soft sensor which is different …

Predicting removal efficiency of formaldehyde from synthetic contaminated air in biotrickling filter using artificial neural network modeling

M Delnavaz, J Farahbakhsh… - Journal of …, 2019 - ascelibrary.org
Formaldehyde (FA) is considered a toxic and mutagenic compound that is suspected to be
carcinogenic for humans. FA is widely emitted to the atmosphere by several chemical …

[PDF][PDF] An improved radial basis function networks in networks weights adjustment for training real-world nonlinear datasets

LE Aik, TW Hong, AK Junoh - IAES …, 2019 - download.garuda.kemdikbud.go.id
In neural networks, the accuracies of its networks are mainly relying on two important factors
which are the centers and the networks weight. The gradient descent algorithm is a widely …

The Case Studies of Artificial Intelligence Technology for apply at The Sewage Treatment Plant

T Kim, H Lee - Journal of Korean Society on Water Environment, 2019 - koreascience.kr
In the recent years, various studies have presented stable and economic methods for
increased regulations and compliance in sewage treatment plants. In some sewage …

Predicting removal efficiency of formaldehyde from the Synthetic contaminated air in biotrickling filter (BTF) using artificial neural network modeling (ANN)

A Talaiekhozani - Journal of Environmental Engineering, 2019 - papers.ssrn.com
Formaldehyde (FA) is considered a toxic and mutagenic compound which is suspected to be
a carcinogenic for humans. FA is widely emitted to the atmosphere by several chemical …