Artificial neural networks based optimization techniques: A review

MGM Abdolrasol, SMS Hussain, TS Ustun, MR Sarker… - Electronics, 2021 - mdpi.com
In the last few years, intensive research has been done to enhance artificial intelligence (AI)
using optimization techniques. In this paper, we present an extensive review of artificial …

Particle swarm optimisation in designing parameters of manufacturing processes: A review (2008–2018)

TV Sibalija - Applied Soft Computing, 2019 - Elsevier
The evolutionary optimisation algorithms appeared as an effective alternative to
conventional statistical methods that have certain limitations in optimising complex …

Groundwater quality evaluation using hybrid model of the multi-layer perceptron combined with neural-evolutionary regression techniques: case study of Shiraz plain

H Moayedi, M Salari, AA Dehrashid, BN Le - … Environmental Research and …, 2023 - Springer
In recent decades, qualitative and quantitative assessments of groundwater sources reveal
that efficient and accurate optimization approaches may assist in solving the multiple …

[HTML][HTML] Modeling and prediction of surface roughness in hybrid manufacturing–milling after FDM using artificial neural networks

S Djurović, D Lazarević, B Ćirković, M Mišić, M Ivković… - Applied Sciences, 2024 - mdpi.com
Three-dimensional printing, or additive manufacturing, represents one of the fastest growing
branches of the industry, and fused deposition modeling (FDM) is one of most frequently …

Prediction of nonsinusoidal AC loss of superconducting tapes using artificial intelligence-based models

M Yazdani-Asrami, M Taghipour-Gorjikolaie… - IEEE …, 2020 - ieeexplore.ieee.org
Current is no longer sinusoidal in modern electric networks because of widespread use of
power electronic-based equipments and nonlinear loads. Usually AC loss is calculated for …

ANN surface roughness optimization of AZ61 magnesium alloy finish turning: Minimum machining times at prime machining costs

AT Abbas, DY Pimenov, IN Erdakov, MA Taha… - Materials, 2018 - mdpi.com
Magnesium alloys are widely used in aerospace vehicles and modern cars, due to their
rapid machinability at high cutting speeds. A novel Edgeworth–Pareto optimization of an …

Optimizing process parameters for laser beam micro-marking using genetic algorithm and particle swarm optimization

K Kalita, I Shivakoti, RK Ghadai - Materials and Manufacturing …, 2017 - Taylor & Francis
Laser micro-marking is an efficient technique for permanent marking and logo printing on
materials. This study details the selection of an optimal parametric combination for laser …

Predicting ground vibrations due to mine blasting using a novel artificial neural network-based cuckoo search optimization

XN Bui, H Nguyen, QH Tran, DA Nguyen… - Natural Resources …, 2021 - Springer
Blasting plays a fundamental role in rock fragmentation, and it is the first preparatory stage in
the mining extraction process. However, its undesirable effects, mostly ground vibration, can …

ANFIS based prediction and parametric analysis during turning operation of stainless steel 202

I Shivakoti, G Kibria, PM Pradhan… - Materials and …, 2019 - Taylor & Francis
The paper deals with the parametric analysis and ANFIS-based modeling of process
parameters during turning operation of stainless steel 202. In this experimental work, the …

Multi-objective lightweight and crashworthiness optimization for the side structure of an automobile body

F Xiong, D Wang, S Chen, Q Gao, S Tian - Structural and Multidisciplinary …, 2018 - Springer
This paper demonstrates a conjoint method integrating the proposed Hybrid Contribution
Analysis (HCA) method, the Artificial Neutral Network (ANN) meta-model, the modified Non …