[HTML][HTML] Automated ph adjustment driven by robotic workflows and active machine learning

A Pomberger, N Jose, D Walz, J Meissner… - Chemical Engineering …, 2023 - Elsevier
Buffer solutions have tremendous importance in biological systems and in formulated
products. Whilst the pH response upon acid/base addition to a mixture containing a single …

[图书][B] Data-driven evolutionary modeling in materials technology

N Chakraborti - 2022 - taylorfrancis.com
Due to efficacy and optimization potential of genetic and evolutionary algorithms, they are
used in learning and modeling especially with the advent of big data related problems. This …

Training cost-sensitive deep belief networks on imbalance data problems

C Zhang, KC Tan, R Ren - 2016 international joint conference …, 2016 - ieeexplore.ieee.org
Many real-world problems are usually unbalanced, where datasets present skewed class
distributions, such as failure diagnosis, spam detection, anomaly detection, fraud detection …

Deep belief networks ensemble with multi-objective optimization for failure diagnosis

C Zhang, JH Sun, KC Tan - 2015 IEEE International …, 2015 - ieeexplore.ieee.org
Early diagnosis that can detect faults from some symptoms accurately is critical, because it
provides the potential benefits such as reducing maintenance costs, improving productivity …

Evolutionary large-scale multiobjective optimization via self-guided problem transformation

S Liu, M Jiang, Q Lin, KC Tan - 2022 IEEE Congress on …, 2022 - ieeexplore.ieee.org
The performance of traditional multiobj ective evolutionary algorithms (MOEAs) often
deteriorates rapidly when using them to solve large-scale multiobjective optimization …

Balancing exploration and exploitation for solving large-scale multiobjective optimization via attention mechanism

H Hong, M Jiang, L Feng, Q Lin… - 2022 IEEE Congress on …, 2022 - ieeexplore.ieee.org
Large-scale multiobjective optimization problems (LSMOPs) refer to optimization problems
with multiple con-flicting optimization objectives and hundreds or even thousands of …

[HTML][HTML] Algoritmos Evolutivos y su empleo en el ajuste de controladores del tipo PID: Estado Actual y Perspectivas

G Reynoso-Meza, J Sanchis, X Blasco… - … de Automática e …, 2013 - Elsevier
Los controladores PID continúan siendo una solución fiable, robusta, práctica y sencilla
para el control de procesos. Actualmente constituyen la primera capa de control de la gran …

Application of the modified fuzzy-PID-Smith predictive compensation algorithm in a pH-controlled liquid fertilizer system

Y Shan, L Zhang, X Ma, X Hu, Z Hu, H Li, C Du, Z Meng - Processes, 2021 - mdpi.com
An appropriate pH value of liquid fertilizer can enable crops to better absorb nutrients from
fertilizers. However, the mixed liquid fertilizer with high concentration of liquid fertilizer and …

Generalized predictive control applied to a pH neutralization process

A Altınten - Computers & chemical engineering, 2007 - Elsevier
In this work, generalized predictive control (GPC) was applied to a pH neutralization
process. The process consists of a continuous flow tubular reactor. The process stream is a …

Adaptive nonlinear control of pH neutralization processes using fuzzy approximators

S Salehi, M Shahrokhi, A Nejati - Control Engineering Practice, 2009 - Elsevier
In this paper, an adaptive control scheme, based on fuzzy logic systems, for pH control is
addressed. For implementation of the proposed scheme no composition measurement is …