Particle Swarm Optimization: A survey of historical and recent developments with hybridization perspectives
Particle Swarm Optimization (PSO) is a metaheuristic global optimization paradigm that has
gained prominence in the last two decades due to its ease of application in unsupervised …
gained prominence in the last two decades due to its ease of application in unsupervised …
[BOOK][B] Swarm intelligence: foundation, principles, and engineering applications
Swarm intelligence is one of the fastest growing subfields of artificial intelligence and soft
computing. This field includes multiple optimization algorithms to solve NP-hard problems …
computing. This field includes multiple optimization algorithms to solve NP-hard problems …
Global warming: predicting OPEC carbon dioxide emissions from petroleum consumption using neural network and hybrid cuckoo search algorithm
Background Global warming is attracting attention from policy makers due to its impacts
such as floods, extreme weather, increases in temperature by 0.7° C, heat waves, storms …
such as floods, extreme weather, increases in temperature by 0.7° C, heat waves, storms …
An alternative approach to neural network training based on hybrid bio meta-heuristic algorithm
Metaheuristic algorithms are popular techniques used to solve several optimization
problems. Among the key algorithms, cuckoo search (CS) is a comparatively novel and …
problems. Among the key algorithms, cuckoo search (CS) is a comparatively novel and …
An artificial neural network approach for detecting skin cancer
This study aims to present diagnose of melanoma skin cancer at an early stage. It applies
feature extraction method of the first order for feature extraction based on texture in order to …
feature extraction method of the first order for feature extraction based on texture in order to …
Neural Network Analysis With Backpropogation In Predicting Human Development Index (HDI) Component by Regency/City In North Sumatera
MNH Siregar - IJISTECH (International Journal of Information System …, 2017 - ijistech.org
Abstract Human Development Index (HDI) measures human development outcomes based
on a number of basic components of quality of life. As a measure of the quality of life, HDI is …
on a number of basic components of quality of life. As a measure of the quality of life, HDI is …
Backpropagation neural network prediction for cryptocurrency bitcoin prices
The value of bitcoin currency is very volatile, hard to guess for every hour, so many of the
bitcoin traders suffer losses because they are wrong in managing their bitcoin assets …
bitcoin traders suffer losses because they are wrong in managing their bitcoin assets …
Backpropagation Algorithm on Implementation of Signature Recognition
Many things are required by all parties, especially in the process of recognition of one's
identity, ranging from health care, maintenance of bank accounts, aviation services …
identity, ranging from health care, maintenance of bank accounts, aviation services …
Evolutionary meta-heuristic optimized model: An application to plant disease diagnosis
Deep learning strategies have been achieved over the historical decades to resolve many
computer vision applications. Recently, these deep learning algorithms have been …
computer vision applications. Recently, these deep learning algorithms have been …
Meta-Analysis of Nature Inspired Hybrid Cuckoo Algorithm
S Aggarwal, VK Sinha - Cyber Technologies and Emerging Sciences …, 2022 - Springer
Diving deep into nature makes us understand it better. Nature inspires researchers world-
wide to design technology based upon natural phenomenon. There are various birds such …
wide to design technology based upon natural phenomenon. There are various birds such …