Application of neural networks with feedback connections in chemistry: prediction of 13C NMR chemical shifts in a series of monosubstituted benzenes
- DOI
- 10.1016/0166-1280(92)87132-j
- Published
- 1992-12
- Container
- Journal of Molecular Structure: THEOCHEM
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/0166-1280-92-87132-j,
title = {Application of neural networks with feedback connections in chemistry: prediction of 13C NMR chemical shifts in a series of monosubstituted benzenes},
author = {V. Kvasnička and Š. Sklenák and J. Pospíchal},
year = {1992},
journal = {Journal of Molecular Structure: THEOCHEM},
doi = {10.1016/0166-1280(92)87132-j},
url = {https://doi.org/10.1016/0166-1280(92)87132-j}
}RIS
TY - JOUR TI - Application of neural networks with feedback connections in chemistry: prediction of 13C NMR chemical shifts in a series of monosubstituted benzenes AU - V. Kvasnička AU - Š. Sklenák AU - J. Pospíchal PY - 1992 JO - Journal of Molecular Structure: THEOCHEM DO - 10.1016/0166-1280(92)87132-j UR - https://doi.org/10.1016/0166-1280(92)87132-j ER -
APA
Kvasnička, V., Sklenák, Š., & Pospíchal, J. (1992). Application of neural networks with feedback connections in chemistry: prediction of 13C NMR chemical shifts in a series of monosubstituted benzenes. Journal of Molecular Structure: THEOCHEM. https://doi.org/10.1016/0166-1280(92)87132-j
Source records
- crossref · retrieved 2026-09-26T06:11:09.867Z