An evolutionary approach to modelling concrete degradation due to sulphuric acid attack [PDF]
, 2014 Concrete corrosion due to sulphuric acid attack is known to be one of the main contributory factors for degradation of concrete sewer pipes. This paper proposes to use a novel data mining technique, namely, evolutionary polynomial regression (EPR), to ...
Alani, Amir M. +5 more
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A general learning co-evolution method to generalize autonomous robot navigation behavior [PDF]
, 2000 Congress on Evolutionary Computation. La Jolla, CA, 16-19 July 2000.A new coevolutive method, called Uniform Coevolution, is introduced, to learn weights for a neural network controller in autonomous robots. An evolutionary strategy is used to learn high-
Molina López, José Manuel +11 more
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Review of hypersonic glide maneuverability evaluation and trajectory planning methods [PDF]
Zhihui kongzhi yu fangzhenCore technologies for online mission planning of hypersonic glide vehicles—rapid maneuverability assessment and autonomous trajectory planning—are ushering in new development opportunities with breakthroughs in artificial intelligence and onboard ...
XIE Yu, ZHANG Yuanlong, FAN Jinxiu
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Grey-box model identification via evolutionary computing [PDF]
, 2002 This paper presents an evolutionary grey-box model identification methodology that makes the best use of a priori knowledge on a clear-box model with a global structural representation of the physical system under study, whilst incorporating accurate ...
Y. Li, Li, Y., K.C. Tan, Tan, K.C.
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ENHANCED HYBRID PSO – ACO ALGORITHM FOR GRID SCHEDULING [PDF]
ICTACT Journal on Soft Computing, 2010 Grid computing is a high performance computing environment to solve larger scale computational demands. Grid computing contains resource management, task scheduling, security problems, information management and so on.
P. Mathiyalagan +2 more
doaj
Dependency of GPA-ES Algorithm Efficiency on ES Parameters Optimization Strength
Journal of Advanced Engineering and Computation, 2019 In herein presented work, the relation between a number of ES iterations and convergence of the whole GPA-ES hybrid algorithm will be studied due to increasing needs to analyze and model large data sets.
Tomas Brandejsky
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Computational intelligence: synergies of fuzzy logic, neural networks and evolutionary computing
, 2013 Computational Intelligence: Synergies of Fuzzy Logic, Neural Networks and Evolutionary Computing presents an introduction to some of the cutting edge technological paradigms under the umbrella of computational intelligence.
Adeli, Hojjat, Siddique, Nazmul
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Mathematical Models for the Design of GRID Systems to Solve Resource-Intensive Problems
MathematicsArtificial neural networks are successfully used to solve a wide variety of scientific and technical problems. The purpose of the study is to increase the efficiency of distributed solutions for problems involving structural-parametric synthesis of ...
Valeriya V. Tynchenko +7 more
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Neural networks for genetic epidemiology: past, present, and future
BioData Mining, 2008 During the past two decades, the field of human genetics has experienced an information explosion. The completion of the human genome project and the development of high throughput SNP technologies have created a wealth of data; however, the analysis and
Motsinger-Reif Alison A +1 more
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Using Evolutionary Computation to Generate Training Set Data for Neural Networks [PDF]
, 1995 Most neural networks require a set of training examples in order to attempt to approximate a problem function. For many real-world problems, however, such a set of examples is unavailable. Such a problem involving feedback optimization of a computer network routing system has motivated a general method of generating artificial training sets using ...
Dan Ventura +2 more
openaire +2 more sources