Results 11 to 20 of about 56,733 (259)
Compressive strength prediction of rice husk ash using multiphysics genetic expression programming
Rice husk ash (RHA) is obtained by burning rice husks. An advanced programming technique known as genetic expression programming (GEP) is used in this research for developing an empirical multiphysics model for predicting the compressive strength of RHA ...
Fahid Aslam +8 more
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The elevated temperature severely influences the mixed properties of concrete, causing a decrease in its strength properties. Accurate proportioning of concrete components for obtaining the required compressive strength (C-S) at elevated temperatures is ...
Abdulaziz Alaskar +6 more
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Genetic Programming-Based Feature Learning for Facial Expression Classification [PDF]
© 2020 IEEE. Facia1 expression classification is an important but challenging task in artificial intelligence and computer vision. To effectively solve facial expression classification, it is necessary to detect/locate the face and extract features from the face.
Ying Bi 0001 +2 more
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A Preliminary Study of Knowledge Transfer in Multi-Classification Using Gene Expression Programming
Gene Expression Programming (GEP), a variant of Genetic Programming (GP), is a well established technique for automatic generation of computer programs.
Tingyang Wei +2 more
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Parsing and translation of expressions by genetic programming [PDF]
We have investigated the potential for using genetic programming to evolve compiler parsing and translation routines for processing arithmetic and logical expressions as they are used in a typical programming language. Parsing and translation are important and complex real-world problems for which evolved solutions must make use of a range of ...
openaire +1 more source
Estimation of aerator air demand by an embedded multi-gene genetic programming
A spillway discharging a high-speed flow is susceptible to cavitation damages. As a countermeasure, an aerator is often used to artificially entrain air into the flow.
Shicheng Li, James Yang, Wei Liu
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A comparison of machine learning techniques for survival prediction in breast cancer
Background The ability to accurately classify cancer patients into risk classes, i.e. to predict the outcome of the pathology on an individual basis, is a key ingredient in making therapeutic decisions.
Vanneschi Leonardo +5 more
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Information Fusion in Offspring Generation: A Case Study in Gene Expression Programming
Gene expression programming (GEP), which is a variant of genetic programming (GP) with a fixed-length linear model, has been applied in many domains. Typically, GEP uses genetic operators to generate offspring.
Tonglin Liu +3 more
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Mating allocations in Nordic Red Dairy Cattle using genomic information
: In this study, we compared mating allocations in Nordic Red Dairy Cattle using genomic information. We used linear programming to optimize different economic scores within each herd, considering genetic level, semen cost, the economic impact of ...
C. Bengtsson +5 more
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Parsing Expression Grammars and Their Induction Algorithm
Grammatical inference (GI), i.e., the task of finding a rule that lies behind given words, can be used in the analyses of amyloidogenic sequence fragments, which are essential in studies of neurodegenerative diseases.
Wojciech Wieczorek +2 more
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