Optimization the parameter of forecasting algorithm by using the genetical algorithm toward the information systems of geography for predicting the patient of dengue fever in district of sragen, Indonesia
Current Language EN
English English Türkçe Türkçe Español Español Português Português Pусский Pусский Filipino Filipino Tiếng Việt Tiếng Việt हिन्दी हिन्दी العربية العربية বাংলা বাংলা Deutsch Deutsch 中文 中文

Optimization the parameter of forecasting algorithm by using the genetical algorithm toward the information systems of geography for predicting the patient of dengue fever in district of sragen, Indonesia

Kristianto R.
proceedings - 2017 2nd international conferences on information technology, information systems and electrical engineering, icitisee 2017 2018 Vol. 2018-January pp. 45-50
398
kristianto2018optimization

Access

DOI:
10.1109/ICITISEE.2017.8285548

Citation

ID: 906
Ref Key: kristianto2018optimization
Use this key to autocite in SciMatic or Thesis Manager

References

References

No Bibliography

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
906
Unique Identifier:
10.1109/ICITISEE.2017.8285548
Network:
Scimatic Chain (ID: 481)
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
4/5
Blockchain Upload Locked

Complete all 5 checklist items to tokenize your article

Gas fees required in SCI Coins
Buy SCI

Saymatik Web3.0 Wallet

Google Play
App Store