Results 21 to 30 of about 10,521 (255)
Arabic grammatical text: Variation, proliferation, and evolution in knowledge circulation [PDF]
Reči (Beograd)Situated within the lineage of two hubs of grammatical tradition (the Sanskrit and the Hellenistic traditions), the Arabic grammatical tradition represents a captivating intellectual domain that preserves a rich assemblage of linguistic resources.
Matar Madyan T.
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Constructing the Bounds for Neural Network Training Using Grammatical Evolution
Computers, 2023 Artificial neural networks are widely established models of computational intelligence that have been tested for their effectiveness in a variety of real-world applications.
Ioannis G. Tsoulos +2 more
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Weighted Hierarchical Grammatical Evolution [PDF]
IEEE Transactions on Cybernetics, 2020 Grammatical evolution (GE) is one of the most widespread techniques in evolutionary computation. Genotypes in GE are bit strings while phenotypes are strings, of a language defined by a user-provided context-free grammar. In this paper, we propose a novel procedure for mapping genotypes to phenotypes that we call weighted hierarchical GE (WHGE).
Alberto Bartoli +2 more
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Learning Functions and Classes Using Rules
AI, 2022 In the current work, a novel method is presented for generating rules for data classification as well as for regression problems. The proposed method generates simple rules in a high-level programming language with the help of grammatical evolution.
Ioannis G. Tsoulos
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On the Locality of Grammatical Evolution [PDF]
, 2006 This paper investigates the locality of the genotype-phenotype mapping (representation) used in grammatical evolution (GE). The results show that the representation used in GE has problems with locality as many neighboring genotypes do not correspond to neighboring phenotypes.
Franz Rothlauf, Marie Oetzel
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A FPGA-Based Neuromorphic Locomotion System for Multi-Legged Robots
IEEE Access, 2017 The paper develops a neuromorphic system on a Spartan 6 field programmable gate array (FPGA) board to generate locomotion patterns (gaits) for three different legged robots (biped, quadruped, and hexapod).
Erick Israel Guerra-Hernandez +5 more
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Mathematics, 2021 Complex systems are usually affected by various sources of uncertainty, and it is essential to account for mechanisms that ensure the proper management of such disturbances.
Ivan Contreras +4 more
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Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2017 Grammatical Evolution (GE) is a population-based evolutionary algorithm, where a formal grammar is used in the genotype to phenotype mapping process. PonyGE2 is an open source implementation of GE in Python, developed at UCD's Natural Computing Research and Applications group. It is intended as an advertisement and a starting-point for those new to GE,
Michael Fenton +5 more
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A Feature Construction Method That Combines Particle Swarm Optimization and Grammatical Evolution
Applied Sciences, 2023 The problem of data classification or data fitting is widely applicable in a multitude of scientific areas, and for this reason, a number of machine learning models have been developed. However, in many cases, these models present problems of overfitting
Ioannis G. Tsoulos, Alexandros Tzallas
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Christiansen Grammar Evolution: Grammatical Evolution With Semantics [PDF]
IEEE Transactions on Evolutionary Computation, 2007 This paper describes Christiansen grammar evolution (CGE), a new evolutionary automatic programming algorithm that extends standard grammar evolution (GE) by replacing context-free grammars by Christiansen grammars. GE only takes into account syntactic restrictions to generate valid individuals.
Alfonso Ortega 0002 +2 more
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