Rezultati pretrage - (evolutionary OR evolution) (algorithm OR algorithms)

Applications of Computational Intelligence

Teme: “…evolutionary algorithm…”
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Monitoring Forest Carbon Sequestration with Remote Sensing

Teme: “…machine learning algorithm…”
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Computational Intelligence and Soft Computing: Recent Applications

Teme: “…discrete bacterial memetic evolutionary algorithm…”
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Plant Genomics

Teme: “…computational algorithms…”
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Impacts of Molecular Structure on Nucleic Acid-Protein Interactions

Teme: “…evolution…”
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Characterisation and Modelling of Manufacturing-Microstructure-Property-Mechanism Relationship for Advanced and Emerging Materials

Teme: “…genetic algorithms…”
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Recent Advances in Machine Learning and Computational Intelligence

Teme: “…evolutionary algorithm…”
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Applied and Computational Mathematics for Digital Environments

Teme: “…evolutionary algorithm…”
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Theory and Applications of Web 3.0 in the Media Sector

“…A total of 11 contributions were published within this volume, enlightening various aspects of contemporary Web 3.0 services from both technological/algorithmic and conceptual/social science approaches..…”
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Mathematical Modeling and Intelligent Optimization in Green Manufacturing & Logistics

Teme: “…differential evolution algorithm…”
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Social Manufacturing on Industrial Internet

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Advances in Sustainable and Digitalized Factories: Manufacturing, Measuring Technologies and Systems

Teme: “…evolutionary algorithms…”
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Numerical and Evolutionary Optimization 2021

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Computational Approaches in Discovery & Design of Antimicrobial Peptides

Teme: “…evolutionary and PPI algorithms…”
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Swarms and Network Intelligence

Teme: “…evolutionary learning…”
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Applied Machine Learning

Teme: “…genetic algorithms…”
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Control, Optimization, and Mathematical Modeling of Complex Systems

Teme: “…evolutionary algorithm…”
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Hypergraph Computation od Dai, Qionghai, Gao, Yue

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Global Studies on Management Information Systems

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Gradient Expectations od Downing, Keith L.

“…Synthesizing critical research in neuroscience, cognitive science, and connectionism, Gradient Expectations offers unique depth and breadth of perspective on predictive neural-network models, including a grasp of predictive neural circuits that enables the integration of computational models of prediction with evolutionary algorithms.…”
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