References
- [1] Anilkumar GK. A subjective job scheduler based on a backpropagation neural network. Human-centric Computing Inform Sci. 2013;3:3-17. DOI: 10.1186/2192-1962-3-17.
- [2] Babak MA, Sharafat AR, Setarehdan SK. An adaptive backpropagation neural network for arrhythmia classification using R-R interval signal. Neural Network World. 2012;6:535-548. DOI: 10.14311/NNW.2012.22.033.
- [3] Balara D, Timko J, Žilková J. Application of neural network model for parameters identification of non-linear dynamic system. Neural Network World. 2013;2:103-116. DOI: 10.14311/NNW.2013.23.008.
- [4] Klawun C, Wilkins CL. Neural network assisted rapid screening of large infrared spectral databases. Anal Chem. 1995;67(2):374-378. DOI: 10.1021/ac00098a023.
- [5] Jalali-Heravi M. Neural networks in analytical chemistry. Methods Molecular Biol. 2008;458:78-118. DOI: 10.1007/978-1-60327-101-1_6.
- [6] Polfer NC, Paizs B, Snoek LC, Compagnon I, Suhai S, Meijer G, et al. Infrared fingerprint spectroscopy and theoretical studies of potassium ion tagged amino acids and peptides in the gas chase. J Amer Chem Soc. 2005;127(23):8571-8579. DOI: 10.1021/ja050858u.
- [7] McCarty GW, Reevesab JB, Reevesab VB, Follettc RF, Kimbled JM. Mid-infrared and near-infrared diffuse reflectance spectroscopy for soil carbon measurement. Soil Sci Soc Amer J. 2002;66:640-646. DOI: 10.2136/sssaj2002.6400.
- [8] Colthup NB, Wiberley SE, Daly LH. Introduction to Infrared and Raman Spectroscopy. New York and London: Academic Press; 1990. http://www.sciencedirect.com/science/book/9780121825546.
- [9] Silverstein RM, Webster FX, Kiemle DJ. Spectrometric Identification of Organic Compounds. New York: John Wiley Sons; 2014.
- [10] Naumann D. A novel procedure for strain classification of fungal mycelium by cluster and artificial neural network analysis of Fourier transform infrared (FTIR) spectra. Analyst. 2009;134(6):1215-1223. DOI: 10.1039/b821286d.
- [11] Coates J. Interpretation of Infrared Spectra, A Practical Approach. New York: John Wiley Sons; 2000. DOI: 10.1002/9780470027318.a5606.
- [12] Xia M, Huang R, Sun Y, Semenza GL, Aldred SF, Witt KL, et al. Identification of chemical compounds that induce HIF-1alpha activity. Toxicol Sci. 2009;112(1):153-63. DOI: 10.1093/toxsci/kfp123.
- [13] Srinivasan GV, Ranjith C, Vijayan KK. Identification of chemical compounds from the leaves of Leea indica. Acta Pharm. 2008;58(2):207-14. DOI: 10.2478/v10007-008-0002-7.
- [14] Aguilera N, Becerra J, Villaseñor-Parada C, Lorenzo P, González L, Hernándeza V. Effects and identification of chemical compounds released from the invasive Acacia dealbata Link. Chem Ecol. 2015;31:479-493. DOI: 10.1080/02757540.2015.1050004.
- [15] Tanaka M, Kuriyama S, Itoh G, Kohyama A, Iwabuchi Y, Shibata H, et al. Identification of anti-cancer chemical compounds using Xenopus embryos. Cancer Sci. 2016;107:803-811. DOI: 10.1111/cas.12940.
- [16] Janczak A. Identification of Nonlinear Systems Using Neural Networks and Polynomial Models: A Block-Oriented Approach. Berlin: Springer Science Business Media; 2005.
- [17] Tadeusiewicz R, Chaki R, Chaki N. Exploring Neural Networks with C#. Boca Raton: CRC Press; 2015.
- [18] Heaton J. Programming Neural Networks with Encog 3 in C#. St. Louis: Heaton Research; 2011.
- [19] Gudise VG, Venayagamoorthy GK. Comparison of particle swarm optimization and backpropagation as training algorithms for neural networks. Swarm Intelligence Symposium, 2003. DOI: 10.1109/SIS.2003.1202255.
- [20] Mohammadi N, Mirabedini SJ. Comparison of particle swarm optimization and backpropagation algorithms for training feedforward neural network. J Mathemat Computer Sci. 2014;12:113-123. http://www.isr-publications.com/jmcs/articles-711-comparison-of-particle-swarm-optimization-andbackpropagation-algorithms-for-training-feedforward-neural-network.