Suchergebnisse - Measurement Keywords Genetic Programming

Determinación del diámetro medio y porcentaje de medulación de fibras representativos de vellones de alpaca.

Alternate Title: Determination of the average diameter and percentage of medullation of representative fibres of alpaca fleeces.

Autoren: Quispe Peña, Edgar Aliaga Gutiérrez, Jorge Gamarra Bojorquez, Jorge et al.

Quelle: Revista de Investigaciones Veterinarias del Peru. 2024, Vol. 35 Issue 6, p1-16. 16p.

Schlagworte: Measuring instruments, Genetic programming, Rank correlation (Statistics), Alpaca, Fibers

A NOVEL HYBRID ALGORITHM COMBINING NEURAL NETWORKS AND GENETIC PROGRAMMING FOR CLOUD RESOURCE MANAGEMENT.

Autoren: Nandhini, T. Babu, M. Rajesh Natarajan, Balakrishnan et al.

Quelle: Frontiers in Health Informatics; 2024, Vol. 13 Issue 8, p4014-4031, 18p

Schlagwörter: GENETIC programming, CONVOLUTIONAL neural networks, COMPUTER systems, FEATURE extraction, RESOURCE allocation

IMPEDANCE SPECTROSCOPY GENETIC PROGRAMMING (ISGP) ANALYSES SETTING PROPER WORKING CONDITIONS OF A POLYMER ELECTROLYTE MEMBRANE FUEL CELL.

Autoren: Bar, Nimai Pandit, Rajkamal

Quelle: Journal of Advanced Scientific Research; Aug2023, Vol. 14 Issue 7, p1-7, 7p

Schlagwörter: IMPEDANCE spectroscopy, GENETIC programming, FUEL cells, ELECTROLYTES, TEMPERATURE

Estimation Equations for Back Break and Ground Vibration Using Genetic Programming.

Autoren: Kumar, Shankar Mishra, Arvind Kumar Choudhary, Bhanwar Singh

Quelle: Geotechnical & Geological Engineering; Jul2023, Vol. 41 Issue 5, p3139-3149, 11p

Schlagwörter: SOIL vibration, ARTIFICIAL intelligence, COMPUTER software, GENETIC programming, EQUATIONS, BLASTING

Single and Multi Objective Genetic Programming for Software Development Effort Estimation

Autoren: Federica Sarro Via Ponte Don Melillo et al.

Weitere Verfasser: Federica Sarro Via Ponte Don Melillo et al.

Quelle: http://www0.cs.ucl.ac.uk/staff/F.Sarro/resource/papers/C4.pdf.

Schlagwörter: Management, Measurement. Keywords Genetic Programming, Multi Objective Search, Effort Estimation, Empirical Study

Dateibeschreibung: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.566.208; http://www0.cs.ucl.ac.uk/staff/F.Sarro/resource/papers/C4.pdf

Verfügbarkeit: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.566.208
http://www0.cs.ucl.ac.uk/staff/F.Sarro/resource/papers/C4.pdf

A Novel Efficient Method of Estimating Suspended‐To‐Total Sediment Load Fraction in Natural Rivers.

Autoren: Noh, Hyoseob Park, Yong Sung Seo, Il Won

Quelle: Water Resources Research; Oct2023, Vol. 59 Issue 10, p1-27, 27p

Schlagwörter: BED load, GAUSSIAN mixture models, FROUDE number, REYNOLDS number, SUSPENDED sediments, FRACTIONS, GENETIC programming, SEDIMENT transport

Genetic programming needs better benchmarks

Autoren: James Mcdermott David R. White Sean Luke et al.

Weitere Verfasser: James Mcdermott David R. White Sean Luke et al.

Quelle: http://www.dcs.gla.ac.uk/~whited/papers/genetic_programming_needs_better_benchmarks.pdf.

Schlagwörter: Categories and Subject Descriptors I.2.2 [Artificial Intelligence, Automatic programming— Program synthesis General Terms Algorithms, Experimentation, Measurement Keywords Genetic Programming, Benchmarks

Dateibeschreibung: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.369.7187; http://www.dcs.gla.ac.uk/~whited/papers/genetic_programming_needs_better_benchmarks.pdf

Verfügbarkeit: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.369.7187
http://www.dcs.gla.ac.uk/~whited/papers/genetic_programming_needs_better_benchmarks.pdf

Genetic Programming Needs Better Benchmarks

Autoren: James Mcdermott David R. White Sean Luke et al.

Weitere Verfasser: James Mcdermott David R. White Sean Luke et al.

Quelle: http://www.cs.gmu.edu/~sean/papers/gecco12benchmarks.pdf.

Schlagwörter: Categories and Subject Descriptors I.2.2 [Artificial Intelligence, Automatic programming— Program synthesis General Terms Algorithms, Experimentation, Measurement Keywords Genetic Programming, Benchmarks

Dateibeschreibung: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.299.3642; http://www.cs.gmu.edu/~sean/papers/gecco12benchmarks.pdf

Verfügbarkeit: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.299.3642
http://www.cs.gmu.edu/~sean/papers/gecco12benchmarks.pdf

to the original GECCO publication and an earlier unnumbered corrective version. Genetic Programming Needs Better Benchmarks

Autoren: James Mcdermott David R. White Sean Luke et al.

Weitere Verfasser: James Mcdermott David R. White Sean Luke et al.

Quelle: http://cs.gmu.edu/~sean/papers/gecco12benchmarks3.pdf.

Schlagwörter: Categories and Subject Descriptors I.2.2 [Artificial Intelligence, Automatic programming— Program synthesis General Terms Algorithms, Experimentation, Measurement Keywords Genetic Programming, Benchmarks

Dateibeschreibung: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.294.7158; http://cs.gmu.edu/~sean/papers/gecco12benchmarks3.pdf

Verfügbarkeit: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.294.7158
http://cs.gmu.edu/~sean/papers/gecco12benchmarks3.pdf

Randomized Metric Induction and Evolutionary Conceptual Clustering for Semantic Knowledge Bases

Autoren: Nicola Fanizzi Claudia d'Amato Floriana Esposito et al.

Weitere Verfasser: Nicola Fanizzi Claudia d'Amato Floriana Esposito et al.

Quelle: http://www.di.uniba.it/~cdamato/cikm0479-fanizzi.pdf.

Schlagwörter: Algorithms, Measurement Keywords Conceptual clustering, unsupervised learning, metric learning, genetic programming

Dateibeschreibung: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.96.7422

Verfügbarkeit: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.96.7422
http://www.di.uniba.it/~cdamato/cikm0479-fanizzi.pdf

Evaluation of Flow Resistance using Multi-Gene Genetic Programming for Bed-load Transport in Gravel-bed Channels.

Autoren: Kumar, Satish Pradhan, Arpan Khuntia, Jnana Ranjan et al.

Quelle: Water Resources Management; Jun2023, Vol. 37 Issue 8, p2945-2967, 23p

Schlagwörter: GENETIC programming, GENE expression, REYNOLDS number, FROUDE number, BED load

PREDICTING OXYGEN DEPLETION LEVEL IN AQUAPONICS POND USING A HYBRID LSTM-GENETIC MODEL.

Autoren: Begam, Safiya Banu, Aisha

Quelle: Biochemical & Cellular Archives; 2023 Suppl1, Vol. 23, p1481-1488, 8p

Schlagwörter: AQUAPONICS, RECURRENT neural networks, GENETIC programming, FISH waste, NUTRIENT cycles, SOLAR radiation

Long‐Term Body Weight Trends in Gobra Zebu Cattle Reared at the 'Centre de Recherches Zootechniques' of Dahra (Senegal): A Historical Perspective (1952–2018).

Autoren: Sambe, Babacar Souleymane Diouf, Mame Nahé Ciss, Mamadou et al.

Quelle: Veterinary Medicine & Science. Jan2025, Vol. 11 Issue 1, p1-10. 10p.

Schlagworte: Parturition, Cattle breeds, Cattle breeding, Body weight, Genetic programming

Genetic programming model for forecast of short and noisy data.

Autoren: Sivapragasam, C. Vincent, P. Vasudevan, G.

Quelle: Hydrological Processes; 1/15/2007, Vol. 21 Issue 2, p266-272, 7p

Schlagwörter: STREAMFLOW, FORECASTING, ARTIFICIAL neural networks, HYDROLOGIC models, GENETIC programming, STREAM measurements, FILTERING software, ARTIFICIAL intelligence, COMPUTER programming

A meta‐analysis of the genetic contribution to greenhouse gas emission in sheep.

Autoren: Ghavi Hossein‐Zadeh, Navid¹ (AUTHOR) nhosseinzadeh@guilan.ac.ir

Quelle: Journal of Animal Breeding & Genetics. Jan2023, Vol. 140 Issue 1, p49-59. 11p.

Schlagworte: Genetic correlations, Sheep, Wool, Oxygen consumption, Carbon dioxide, Genetic programming, Greenhouse gases

Genetic Programming : 11th European Conference, EuroGP 2008, Naples, Italy, March 26-28, 2008, Proceedings

Autoren: Michael O'Neill Leonardo Vanneschi Steven Gustafson et al.

Resource Type: eBook.

Schlagworte: Software engineering, Computer programming, Computer science, Algorithms, Artificial intelligence, Pattern recognition systems

Categories: COMPUTERS / Software Development & Engineering / General, COMPUTERS / Artificial Intelligence / General, COMPUTERS / Computer Science, COMPUTERS / Artificial Intelligence / Computer Vision & Pattern Recognition, COMPUTERS / Programming / General, COMPUTERS / Programming / Algorithms

Large‐Scale Drought Forecasting in the U.S. Southern Plains Through a Hybrid Cluster‐Based Wavelet‐Machine Learning Approach.

Autoren: Lee, SangHyun Danandeh Mehr, Ali Moriasi, Daniel et al.

Quelle: Water Resources Research; Nov2025, Vol. 61 Issue 11, p1-23, 23p

Schlagwörter: DROUGHT forecasting, MACHINE learning, WAVELET transforms, CLIMATE change adaptation, HYDROLOGIC models, PLAINS, SPATIAL variation, EVAPOTRANSPIRATION

A neural symbolic model for space physics.

Autoren: Ying, Jie Lin, Haowei Yue, Chao et al.

Quelle: Nature Machine Intelligence; Oct2025, Vol. 7 Issue 10, p1726-1741, 16p

Optimizing Solution in Decision Supporting System for River Basin Management Consisting of a Reservoir System.

Autoren: Ngamsert, Ratsuda Techarungruengsakul, Rapeepat Kaewplang, Siwa et al.

Quelle: Water (20734441); Jul2023, Vol. 15 Issue 14, p2510, 17p

Schlagwörter: DECISION support systems, WATER management, WATER shortages, MATHEMATICAL optimization, GENETIC programming, WATERSHEDS

Geografische Kategorien: THAILAND

Genetic Programming : 28th European Conference, EuroGP 2025, Held As Part of EvoStar 2025, Trieste, Italy, April 23–25, 2025, Proceedings

Autoren: Bing Xue Luca Manzoni Illya Bakurov

Resource Type: eBook.

Schlagworte: Genetic programming (Computer science)--Congresses

Categories: COMPUTERS / Languages / General, COMPUTERS / Artificial Intelligence / General, COMPUTERS / Networking / General, COMPUTERS / Speech & Audio Processing, MATHEMATICS / Probability & Statistics / General, SCIENCE / System Theory