Results 21 to 30 of about 38,424 (250)
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
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Multi-Objective Gene Expression Programming for Clustering
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
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Evaluation of Integrated Models of Wavelet-Artificial Neural Network and Wavelet-Gene Expression Programming in the Short-Term Drought Prediction [PDF]
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
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Estimation of aerator air demand by an embedded multi-gene genetic programming
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
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Multi Expression Programming for solving classification problems
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.
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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
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Using Multi Expression Programming in Software Effort Estimation
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
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Multi-label Classification with Gene Expression Programming
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
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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
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Compressive strength of waste-derived cementitious composites using machine learning
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
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