10.46243/jst.2020.v5.i6.pp26-36 registered
Rainfall Forecasting Based on Surface Data of Chennai Region Using Artificial Neural Networks
Resolves to https://www.jst.org.in/index.php/pub/article/view/443
Held by Longman Publishers (India) · prefix 10.46243 live · DOI address https://doi.org/10.46243/jst.2020.v5.i6.pp26-36
Registered 29 Sep 2026 via crossref · record version 2 · last change 29 Sep 2026, 11:59 PM · record sha256 bc12fe11eabd51fc…
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What the DOI identifies
JournalArticle — an article in a journal · Digital · Visual · en
Rainfall Forecasting Based on Surface Data of Chennai Region Using Artificial Neural Networks (PrincipalTitle)
Published 2020-09-24
Part of Journal of Science & Technology · ISSN 2456-5660 · issue Volume 5 · pages 26–36
Agents
- Longman Publishers (publisher)
Identifiers DOI 10.46243/jst.2020.v5.i6.pp26-36
Abstract
In this study, we developed user friendly rainfall forecasting system based on Back propagation Neural Network using MATLAB 7.10 to forecast Hourly rainfall in Chennai region. The dataset of 31488 samples has been collected from Nungambakkam Meteorological Station, Chennai for the period of 2005 to 2015. The data was organized into day-wise hourly recordings as well as day-wise, maximum, minimum, average data of Relative Humidity (RH), Temperature, Pressure and Wind Speed along with Rainfall data. The collected dataset has been used both for training and for testing the data. The developed system gives more accuracy of 94.8197% when the training data set is 55% and the testing data set is 45% with least Mean Squared Error (MSE) value 0.012437.
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Each element by the standard's name (Annex B: reference elements, then administrative) and the Handbook's (in grey), read off the record above.
| Element | Value | In the record |
|---|---|---|
| DOI Name DOI name | 10.46243/jst.2020.v5.i6.pp26-36 | doi |
| Referent Type referentType | Creation | referent |
| Referent Sub-Type referentSubType | JournalArticle — an article in a journal | type |
| Referent Name(s) referentName(s) | Rainfall Forecasting Based on Surface Data of Chennai Region Using Artificial Neural Networks (PrincipalTitle, en) | titles |
| Basic Metadata basicMetadata | publisher: Longman Publishers published: 2020-09-24 part of: Journal of Science & Technology · ISSN 2456-5660 · no. Volume 5 · pp. 26–36 language: en form: Digital · Visual · Language | agents, dates, container, language, structural_type, modes, characters |
| Referent Identifier(s) alternateIdentifier(s) | none besides the DOI | identifiers, relations (IsSameAs) |
| Registration Authority registrationAuthorityCode | Crossref — issued by Crossref (member 25296); held here as a copy | record.source_agency (our code, ra_doi_name, for names issued here once appointed) |
| Created Date issueDate | 2020-10-29 | record.registered (when the DOI name was first registered) |
| relatedIdentifiers | none needed — the descriptive metadata is in this record | container, relations (only where the descriptive metadata lives at another identifier) |
complete Every System Metadata element is here, with the basic metadata a journal article needs.
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History — the ledger
Every change to this DOI, in order, as it was recorded. Entries are only ever added, never changed or removed.
| # | When | What | By | Changes |
|---|---|---|---|---|
| 1 | 29 Sep 2026, 10:00 PM | register registered at Crossref; record read from api.crossref.org | Administrator (admin) | 64 fields set · sha256 c227ab5ac675… |
| 2 | 29 Sep 2026, 11:59 PM | update record re-read from api.crossref.org | Administrator (admin) | container.titles.0.value: titles.0.value: |
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