Results 21 to 30 of about 38,424 (250)

Regresión Simbólica aplicada a la Predicción del Consumo Eléctrico a Corto Plazo en el Nivel de Subestación

open access: yesTecnología y Ciencia, 2020
El modelado de datos es un problema fundamental en diversas áreas del conocimiento. La Regresión Simbólica es una técnica que permite encontrar una relación matemática para describir un conjunto de datos experimentales.
Victor Adrian Jimenez   +2 more
doaj   +1 more source

Multi-Objective Gene Expression Programming for Clustering

open access: yesInformation Technology And Control, 2012
This paper proposes a multi-objective gene expression programming for clustering (MGEPC), which could automatically determine the number of clusters and the appropriate partitioning from the data set. The clustering algebraic operations of gene expression programming are extended first.
Yifei Zheng, Lixin Jia, Hui Cao 0003
openaire   +1 more source

Evaluation of Integrated Models of Wavelet-Artificial Neural Network and Wavelet-Gene Expression Programming in the Short-Term Drought Prediction [PDF]

open access: yesپژوهش‌های آبخیزداری, 2020
Drought prediction plays an important role in the planning and management of natural resources, water resources and plant water requirements. Wavelet transform is one of the new and highly effective methods for analysing signals and time series.
Mahbobeh Younesi, Hamed Nozari
doaj   +1 more source

Estimation of aerator air demand by an embedded multi-gene genetic programming

open access: yesJournal of Hydroinformatics, 2021
A spillway discharging a high-speed flow is susceptible to cavitation damages. As a countermeasure, an aerator is often used to artificially entrain air into the flow.
Shicheng Li, James Yang, Wei Liu
doaj   +1 more source

Multi Expression Programming for solving classification problems

open access: yes, 2022
Abstract Multi Expression Programming (MEP) is a Genetic Programming variant that encodes multiple solutions in a single chromosome. This paper introduces and deeply describes several strategies for solving binary and multi-class classification problems within the multi solutions per chromosome paradigm of MEP.
openaire   +2 more sources

Solving the Sustainable Automobile Production-Distribution Joint Optimization in the Physical Internet-Enabled Hyperconnected Order-to-Delivery System by I-NSGAIII

open access: yesIEEE Access, 2023
The Physical Internet (PI)-enabled hyperconnected order-to-delivery system (OTD) provides new solutions for sustainable supply chains from production perspectives. In this system, a PI-enabled hyperconnected manufacturing system is more closely tied with
Yaoting Xue   +3 more
doaj   +1 more source

Using Multi Expression Programming in Software Effort Estimation

open access: yesCoRR, 2018
Estimating the effort of software systems is an essential topic in software engineering, carrying out an estimation process reliably and accurately for a software forms a vital part of the software development phases. Many researchers have utilized different methods and techniques hopping to find solutions to this issue, such techniques include COCOMO,
Najla Akram   +2 more
openaire   +2 more sources

Multi-label Classification with Gene Expression Programming

open access: yes, 2009
In this paper, we introduce a Gene Expression Programming algorithm for multi label classification. This algorithm encodes each individual into a discriminant function that shows whether a pattern belongs to a given class or not. The algorithm also applies a niching technique to guarantee that the population includes functions for each existing class ...
José Luis Ávila-Jiménez   +2 more
openaire   +2 more sources

Predictive modeling for depth of wear of concrete modified with fly ash: A comparative analysis of genetic programming-based algorithms

open access: yesCase Studies in Construction Materials
There has been increasing growth in incorporating fly ash as a supplementary cementitious material in concrete mixtures due to its potential to enhance the durability and strength properties of concrete. However, there is a lack of research on predicting
Adil Khan   +8 more
doaj   +1 more source

Compressive strength of waste-derived cementitious composites using machine learning

open access: yesReviews on Advanced Materials Science
Marble cement (MC) is a new binding material for concrete, and the strength assessment of the resulting materials is the subject of this investigation. MC was tested in combination with rice husk ash (RHA) and fly ash (FA) to uncover its full potential ...
Tian Qiong   +6 more
doaj   +1 more source

Home - About - Disclaimer - Privacy