Results 101 to 110 of about 13,344 (202)

Semi-supervised associative classification using ant colony optimization algorithm. [PDF]

PeerJ Comput Sci, 2021
Awan HH, Shahzad W.
europepmc   +1 more source

Exploring the 3D Gravity Inversion Problem Using a Compact Hybrid Transformer‐Based Deep Learning Model

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 3, June 2026.
Abstract The three‐dimensional (3D) gravity inversion problem is the process of delineating the volumetric mass distributions from the surface gravity anomalies. Recently, many innovative Convolutional Neural Network (CNN) based algorithms have found some success in reduction of computation costs and delineation of sharper boundaries of causative ...
Abhirup Chaudhuri, Akanksha Tirkey, Ankit Singh   +2 more
wiley   +1 more source

SEMsens: An R Package for Sensitivity Analysis of Structural Equation Models With the Ant Colony Optimization Algorithm. [PDF]

Appl Psychol Meas, 2022
Shen Z, Leite WL.
europepmc   +1 more source

New Heuristics for Stable LDA Parameter Search

Computational Intelligence, Volume 42, Issue 3, June 2026.
ABSTRACT The Latent Dirichlet Allocation (LDA) algorithm automatically extracts latent topics from a textual corpus, but configuring its parameters can be difficult and time‐consuming. Optimization algorithms can help determine the best parameters, but not necessarily the optimal ones.
Simon‐Olivier Harel, Erick Velazquez‐Godinez, Sylvie Ratté   +2 more
wiley   +1 more source

Coupled online sequential extreme learning machine model with ant colony optimization algorithm for wheat yield prediction. [PDF]

Sci Rep, 2022
Ali M, Deo RC, Xiang Y, Prasad R, Li J, Farooque A, Yaseen ZM.   +6 more
europepmc   +1 more source

Simultaneous feature selection and parameter optimisation using an artificial ant colony : case study of melting point prediction

, 2008
We present a novel feature selection algorithm, Winnowing Artificial Ant Colony (WAAC), that performs simultaneous feature selection and model parameter optimisation for the development of predictive quantitative structure-property relationship (QSPR ...
Nigsch Florian, David S Palmer, O'Boyle, NM, Florian Nigsch, Palmer, David S, Noel M O'Boyle, Nigsch, F, Mitchell, J. B., John BO Mitchell, O'Boyle, Noel M, Mitchell, John BO, Palmer, D. S., O'Boyle, N. M., Mitchell John BO, Nigsch, Florian, Palmer David S, Mitchell, John Blayney Owen, Nigsch, F., Palmer, DS, O'Boyle Noel M   +19 more
core   +1 more source

Optimum Allocation of Inspection Stations in Multistage Manufacturing Processes by Using Max-Min Ant System [PDF]

, 2013
In multistage manufacturing processes it is common to locate inspection stations after some or all of the processing workstations. The purpose of the inspection is to reduce the total manufacturing cost, resulted from unidentified defective items being ...
SHETWAN, ALI,GASSIM,M.
core  

Hierarchical classification of G-protein-coupled receptors with a PSO/ACO algorithm [PDF]

, 2006
In our previous work we have proposed a hybrid Particle Swarm Optimisation / Ant Colony Optimisation (PSO/ACO) algorithm for discovering classification rules.
Holden, Nicholas, Freitas, Alex A.
core  

Integration of Green Innovation Capabilities of Enterprises Based on Ant Colony Optimization Algorithm.

Comput Intell Neurosci, 2022
Yang H, Liu F, Zhang L.
europepmc   +1 more source

Cloud Computing Load Balancing Mechanism Taking into Account Load Balancing Ant Colony Optimization Algorithm.

Comput Intell Neurosci, 2022
He J.
europepmc   +1 more source