Discovering novel memory cell designs for sentiment analysis on tweets

IF 1.7 3区 计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Genetic Programming and Evolvable Machines Pub Date : 2020-11-17 DOI:10.1007/s10710-020-09395-0
S. Nistor, M. Moca, R. Nistor
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来源期刊
Genetic Programming and Evolvable Machines
Genetic Programming and Evolvable Machines 工程技术-计算机:理论方法
CiteScore
5.90
自引率
3.80%
发文量
19
审稿时长
6 months
期刊介绍: A unique source reporting on methods for artificial evolution of programs and machines... Reports innovative and significant progress in automatic evolution of software and hardware. Features both theoretical and application papers. Covers hardware implementations, artificial life, molecular computing and emergent computation techniques. Examines such related topics as evolutionary algorithms with variable-size genomes, alternate methods of program induction, approaches to engineering systems development based on embryology, morphogenesis or other techniques inspired by adaptive natural systems.
期刊最新文献
Evolving code with a large language model Hga-lstm: LSTM architecture and hyperparameter search by hybrid GA for air pollution prediction A survey on dynamic populations in bio-inspired algorithms GSGP-hardware: instantaneous symbolic regression with an FPGA implementation of geometric semantic genetic programming Geometric semantic GP with linear scaling: Darwinian versus Lamarckian evolution
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