A practical hybrid modelling approach for the prediction of potential fouling parameters in ultrafiltration membrane water treatment plant
In this work, a novel approach combining first principle equation of Darcy's law on cake
filtration and artificial neural network (ANN) predictive models were utilized to represent the …
filtration and artificial neural network (ANN) predictive models were utilized to represent the …
A comparative assessment of predicting daily solar radiation using bat neural network (BNN), generalized regression neural network (GRNN), and neuro-fuzzy (NF) …
Highly accurate estimating of daily solar radiation by developing an intelligent and robust
model has been a subject of prominent concern for many researchers in the past few years …
model has been a subject of prominent concern for many researchers in the past few years …
Modelling the steel microstructure knowledge for in-silico recognition of phases using machine learning
The present article demonstrates an effective approach to model the in-silico recognition of
phases in steel microstructures using the machine learning and image processing …
phases in steel microstructures using the machine learning and image processing …
ANN-GA based parametric optimization of Al-TiB2 metal matrix composite material processing technique
Over the years, aluminum metal matrix composites (AMMCs) have transitioned into a viable
replacement for traditional metals due to their exceptional strength-to-density ratio, higher …
replacement for traditional metals due to their exceptional strength-to-density ratio, higher …
Incorporation of prior knowledge in neural network model for continuous cooling of steel using genetic algorithm
S Chakraborty, PP Chattopadhyay, SK Ghosh… - Applied Soft …, 2017 - Elsevier
Artificial neural network model is developed for the prediction of phase transformation of
steel from austenite, and thus construction of the continuous cooling transformation (CCT) …
steel from austenite, and thus construction of the continuous cooling transformation (CCT) …
Improving the prediction of mechanical properties of aluminium alloy using data-driven class-based regression
The widespread use of aluminium alloys in the aerospace, transport and marine industries is
attributed to their desirable physical properties. The relationship between the alloy …
attributed to their desirable physical properties. The relationship between the alloy …
Designing UHMWPE hybrid composites using machine learning and metaheuristic algorithms
The artificial replacement of hip joints comes into play when an individual is affected by
different types of arthritis or sudden trauma. Hip prosthesis involves the usage of ultra-high …
different types of arthritis or sudden trauma. Hip prosthesis involves the usage of ultra-high …
Early fault prediction of a wind turbine using a novel ANN training algorithm based on ant colony optimization
Y Eroğlu, SU Seçkiner - Journal of Energy Systems, 2019 - dergipark.org.tr
The technological developments in wind energy field have reduced the investment and the
operation costs. For this reason, wind farms have become more popular around the world …
operation costs. For this reason, wind farms have become more popular around the world …
Intelligent design optimization of age-hardenable Al alloys
Softening at elevated temperatures is known to be a serious problem in aluminium alloys
which restricts its wide span of application. Existing database on age-hardenable aluminium …
which restricts its wide span of application. Existing database on age-hardenable aluminium …
Natural computing-based designing of hybrid UHMWPE composites for orthopedic implants
The current study deals with the design of ultra-high molecular weight polyethylene
(UHMWPE) composites by integrating various micro and nanoparticles as reinforcements for …
(UHMWPE) composites by integrating various micro and nanoparticles as reinforcements for …