Artificial neural networks based optimization techniques: A review
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 …
using optimization techniques. In this paper, we present an extensive review of artificial …
Load forecasting models in smart grid using smart meter information: a review
F Dewangan, AY Abdelaziz, M Biswal - Energies, 2023 - mdpi.com
The smart grid concept is introduced to accelerate the operational efficiency and enhance
the reliability and sustainability of power supply by operating in self-control mode to find and …
the reliability and sustainability of power supply by operating in self-control mode to find and …
Particle swarm optimization trained neural network for structural failure prediction of multistoried RC buildings
S Chatterjee, S Sarkar, S Hore, N Dey… - Neural Computing and …, 2017 - Springer
Faulty structural design may cause multistory reinforced concrete (RC) buildings to collapse
suddenly. All attempts are directed to avoid structural failure as it leads to human life danger …
suddenly. All attempts are directed to avoid structural failure as it leads to human life danger …
A novel artificial intelligence approach based on Multi-layer Perceptron Neural Network and Biogeography-based Optimization for predicting coefficient of …
Coefficient of consolidation (C v) is a measure of compressibility of soil. This coefficient is an
important parameter which is used in the design of foundation of civil engineering structures …
important parameter which is used in the design of foundation of civil engineering structures …
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 …
that efficient and accurate optimization approaches may assist in solving the multiple …
Short-term load forecasting for microgrid energy management system using hybrid HHO-FNN model with best-basis stationary wavelet packet transform
Accurate prediction of load has become one of the most crucial issue in the energy
management system of the microgrid. Therefore, a precise load forecasting tool is necessary …
management system of the microgrid. Therefore, a precise load forecasting tool is necessary …
Vibration-based crack prediction on a beam model using hybrid butterfly optimization algorithm with artificial neural network
Vibration-based damage detection methods have become widely used because of their
advantages over traditional methods. This paper presents a new approach to identify the …
advantages over traditional methods. This paper presents a new approach to identify the …
Fruit classification by wavelet-entropy and feedforward neural network trained by fitness-scaled chaotic ABC and biogeography-based optimization
Fruit classification is quite difficult because of the various categories and similar shapes and
features of fruit. In this work, we proposed two novel machine-learning based classification …
features of fruit. In this work, we proposed two novel machine-learning based classification …
Fruit classification by biogeography‐based optimization and feedforward neural network
Accurate fruit classification is difficult to accomplish because of the similarities among the
various categories. In this paper, we proposed a novel fruit‐classification system, with the …
various categories. In this paper, we proposed a novel fruit‐classification system, with the …
Abnormal breast detection in mammogram images by feed-forward neural network trained by Jaya algorithm
(Aim) Abnormal breast can be diagnosed using the digital mammography. Traditional
manual interpretation method cannot yield high accuracy.(Method) In this study, we …
manual interpretation method cannot yield high accuracy.(Method) In this study, we …