Results 11 to 20 of about 77,914 (161)

Deriving Trading Rules Using Gene Expression Programming [PDF]

open access: yesInformatică economică, 2011
This paper presents how buy and sell trading rules are generated using gene expression programming with special setup. Market concepts are presented and market analysis is discussed with emphasis on technical analysis and quantitative methods. The use of
Adrian VISOIU
doaj  

Fetal and neonatal programming of postnatal growth and feed efficiency in swine

open access: yesJournal of Animal Science and Biotechnology, 2017
Maternal undernutrition or overnutrition during pregnancy alters organ structure, impairs prenatal and neonatal growth and development, and reduces feed efficiency for lean tissue gains in pigs.
Yun Ji   +6 more
doaj   +1 more source

Development of predictive models for sustainable concrete via genetic programming-based algorithms

open access: yesJournal of Materials Research and Technology, 2023
Waste foundry sand (WFS), a by-product of the casting industry, is a potential material that may be employed as a substitute for fine aggregate in concrete.
Lingling Chen   +6 more
doaj   +1 more source

No-Deposition Sediment Transport in Sewers Using Gene Expression Programming [PDF]

open access: yesJournal of Soft Computing in Civil Engineering, 2017
The deposition of the flow of suspended particles has always been a problematic case in the process of flow transmission through sewers. Deposition of suspended materials decreases transmitting capacity.
Isa Ebtehaj, Hossein Bonakdari
doaj   +1 more source

A novel non-linear approach for establishing a QSAR model of a class of 2-Phenyl-3-(pyridin-2-yl) thiazolidin-4-one derivatives

open access: yesFrontiers in Pharmacology, 2023
In this investigation, we aimed to address the pressing challenge of treating osteosarcoma, a prevalent and difficult-to-treat form of cancer. To achieve this, we developed a quantitative structure-activity relationship (QSAR) model focused on a specific
Leilei Wu, Yonglin Chen, Kangying Duan
doaj   +1 more source

Gene Expression Programming and Trading Strategies [PDF]

open access: yes, 2013
This paper applies a Gene Expression Programming (GEP) algorithm to the task of forecasting and trading the SPDR Down Jones Industrial Average (DIA), the SPDR S&P 500 (SPY) and the Powershares Qqq Trust Series 1 (QQQ) exchange traded funds (ETFs). The performance of the algorithm is benchmarked with a simple random walk model (RW), a Moving Average ...
Georgios Sermpinis   +3 more
openaire   +2 more sources

Inducible and Deterministic Forward Programming of Human Pluripotent Stem Cells into Neurons, Skeletal Myocytes, and Oligodendrocytes

open access: yesStem Cell Reports, 2017
Summary: The isolation or in vitro derivation of many human cell types remains challenging and inefficient. Direct conversion of human pluripotent stem cells (hPSCs) by forced expression of transcription factors provides a potential alternative. However,
Matthias Pawlowski   +6 more
doaj   +1 more source

Assessment of the Modulus of Elasticity at a Triaxial Stress State for Rocks Using Gene Expression Programming [PDF]

open access: yesJournal of Soft Computing in Civil Engineering, 2020
Rocks were subjected to the deformation test under five different confining stresses (0, 5, 10, 15, and 20 MPa) using the Hoek cell to determine changes in the elastic properties of the rocks under confining stress, and the results were evaluated based ...
Umit Atici
doaj   +1 more source

A comparison of machine learning techniques for survival prediction in breast cancer

open access: yesBioData Mining, 2011
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
doaj   +1 more source

Deep gene selection method to select genes from microarray datasets for cancer classification

open access: yesBMC Bioinformatics, 2019
Background Microarray datasets consist of complex and high-dimensional samples and genes, and generally the number of samples is much smaller than the number of genes.
Russul Alanni   +3 more
doaj   +1 more source

Home - About - Disclaimer - Privacy