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检索条件"主题词=Cartesian Genetic Programming"
248 条 记 录,以下是1-10 订阅
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Hardware real-time individualised blood glucose predictor generator based on grammars and cartesian genetic programming
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genetic programming AND EVOLVABLE MACHINES 2025年 第1期26卷 1-26页
作者: Cano, Jorge Hidalgo, J. Ignacio Garnica, Oscar Univ Complutense Madrid Dept Arquitectura Comp & Automat Calle Prof Jose Garcia Santesmases Madrid 28040 Comunidad De Ma Spain
In this paper, we introduce a novel grammar-guided technique based on genetic programming for on-chip, real-time, configurable hardware design of model generators on an FPGA. The technique integrates grammar-based des... 详细信息
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cartesian genetic programming: its status and future
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genetic programming AND EVOLVABLE MACHINES 2020年 第1-2期21卷 129-168页
作者: Miller, Julian Francis Univ York Dept Elect Engn York N Yorkshire England
cartesian genetic programming, a well-established method of genetic programming, is approximately 20 years old. It represents solutions to computational problems as graphs. Its genetic encoding includes explicitly red... 详细信息
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cartesian genetic programming Parameterization in the Context of Audio Synthesis
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IEEE SIGNAL PROCESSING LETTERS 2023年 30卷 1077-1081页
作者: Ly, Edward Villegas, Julian Univ Aizu Grad Sch Comp Sci & Engn Aizu Wakamatsu Fukushima 9658580 Japan
This letter presents an evaluation of the effects of elitism, recurrence probability, and prior knowledge on the fitness achieved by cartesian genetic programming (CGP) in the context of DSP audio synthesis. Prior kno... 详细信息
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cartesian genetic programming with Guided and Single Active Mutations for Designing Combinational Logic Circuits  5th
Cartesian Genetic Programming with Guided and Single Active ...
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5th International Conference on Machine Learning, Optimization, and Data Science (LOD)
作者: da Silva, Jose Eduardo H. de Souza, Lucas A. M. Bernardino, Heder S. Univ Fed Juiz de Fora Juiz De Fora MG Brazil
The design of digital circuits using cartesian genetic programming (CGP) has been widely investigated but the evolution of complex combinational logic circuits is a hard task for CGP. We introduce here a new mutation ... 详细信息
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cartesian genetic programming in an Open-Ended Evolution Environment  18th
Cartesian Genetic Programming in an Open-Ended Evolution Env...
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18th EPIA Conference on Artificial Intelligence (EPIA)
作者: Simoes, Antonio Baptista, Tiago Costa, Ernesto Univ Coimbra Dept Informat Engn CISUC Coimbra Portugal
In this paper we describe and analyze the use of the cartesian genetic programming method to evolve Artificial Neural Networks (CGPANN) in an open-ended evolution scenario. The issue of open-ended evolution has for so... 详细信息
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cartesian genetic programming for Image Analysis of the Developing Drosophila Eye
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Biophysics (Russian Federation) 2023年 第3期68卷 462-467页
作者: Danilov, N.A. Kozlov, K.N. Surkova, S.Y. Samsonova, M.G. Peter the Great St. Petersburg Polytechnic University St. Petersburg 195251 Russian Federation
Abstract: Methods of automatic feature extraction attract increasing attention when solving modern image processing problems. Confocal images of the single-layer epithelium of the developing eye of the fruit fly droso... 详细信息
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cartesian genetic programming Based Optimization and Prediction
Cartesian Genetic Programming Based Optimization and Predict...
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World Conference on Information Systems and Technologies (WorldCIST)
作者: Seo, Kisung Hyeon, Byeongyong Seokyeong Univ Dept Elect Engn Seoul South Korea
This paper introduces a CGP (cartesian genetic programming) based optimization and prediction techniques. In order to provide a superior search for optimization and a robust model for prediction, a nonlinear and symbo... 详细信息
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cartesian genetic programming as an Optimizer of Programs Evolved with Geometric Semantic genetic programming  22nd
Cartesian Genetic Programming as an Optimizer of Programs Ev...
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22nd European Conference on genetic programming (EuroGP) Held as Part of EvoStar Conference
作者: Koncal, Ondrej Sekanina, Lukas Brno Univ Technol IT4Innovat Ctr Excellence Fac Informat Technol Bozetechova 2 Brno 61266 Czech Republic
In Geometric Semantic genetic programming (GSGP), genetic operators directly work at the level of semantics rather than syntax. It provides many advantages, including much higher quality of resulting individuals (in t... 详细信息
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cartesian genetic programming Is Robust Against Redundant Attributes in Datasets  16th
Cartesian Genetic Programming Is Robust Against Redundant At...
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16th International Joint Conference on Computational Intelligence, IJCCI 2024
作者: Cui, Henning Hähner, Jörg University of Augsburg Augsburg86159 Germany
Real world datasets might contain duplicate or redundant attributes—or even pure noise—which may not be filtered out by data preprocessing algorithms. This might be problematic, as it decreases the performance of le... 详细信息
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Developments in cartesian genetic programming: self-modifying CGP
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genetic programming AND EVOLVABLE MACHINES 2010年 第3-4期11卷 397-439页
作者: Harding, Simon Miller, Julian F. Banzhaf, Wolfgang Mem Univ Newfoundland Dept Comp Sci St John NF A1B 3X5 Canada Univ York Dept Elect York YO10 5DD N Yorkshire England
Self-modifying cartesian genetic programming (SMCGP) is a general purpose, graph-based, developmental form of genetic programming founded on cartesian genetic programming. In addition to the usual computational functi... 详细信息
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