Genetic Algorithm Improved Pariticle Swarm Optimazition IMF: Instrinsic Mode Function INE: International Energy Exchange KELM: Kernel-Based Extreme Learning Machine LSTM: Long Short-term Memory Neural Network MAE: Mean Absolute Error MAPE: Mean Absolute Percentage Error MCS: Model Confidence ...
The introduction of genetic algorithm-BP neural networks could solve those problems by avoiding building the explicit model equation and directly extracting the potential rules from the data. In this paper, the short crack for low cycle is studied under complex stress at high temperature. The ...
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Genetic variant VCF for Hap-D03-1 to Hap-D03-5 was deposited in https://github.com/huguanjing/cottonRef_ZM113/. Source data are provided with this paper. Code availability Custom scripts are available in the GitHub repository (https://github.com/huguanjing/cottonRef_ZM113) and on Zenodo...
Variation graph toolkit improves read mapping by representing genetic variation in the reference. Nat Biotechnol. 2018;36:875–9. Article CAS Google Scholar Sirén J. Indexing variation graphs. In: 2017 Proceedings of the 19th workshop on algorithm engineering and experiments (ALENEX). 2017; SIAM...
A collection of simple JavaScript programs for generating, formatting, and analyzing short DNA and protein sequences. The Sequence Manipulation Suite is commonly used by molecular biologists, for teaching purposes, and for program and algorithm testing.
Applying this algorithm we could increase the number of shared insertions to 35%. Indel detection and prediction on 80 genomes Next, we detected and classified indels in 80 accessions of Arabidopsis thaliana from the first phase of the 1001 Genomes Project [2]. The average coverage of strains ...
The main factor underlying the success of a machine learning algorithm is to find relevant features and the appropriate model. Thereby, today, neural networks are a powerful solution in many applications when conventional machine learning models reach their limits. Especially CNNs introduced by Lecun...
Data augmentation: symbolic genetic programming The second step of the proposed DNN framework is to investigate the Genetic Algorithm (GA) in the data augmentation phase. Based on literature, Genetic Algorithms are a type of learning algorithm, that would result in a better neural network by crossi...
Notes On the earth Package. URL http://cran.r-project.org/package=earth. Min S, Lee J, Han I (2006). “Hybrid Genetic Algorithms and Support Vector Machines for Bankruptcy Prediction.” Expert Systems with Applications, 31(3), 652–660. Article Google Scholar Mitchell M (1998). An ...