Application of Backpropagation Neural Networks in Predicting Rainfall Data in Ambon City

International Journal of Artificial Intelligence Research
doi 10.29099/ijair.v2i2.59
Full Text
Abstract

Available in full text

Date
Authors
Publisher

STMIK Dharma Wacana

Related search

Application of Neural Networks in Predicting the Level of Integration in Supply Chains

Journal of Industrial Engineering and Management
IndustrialManagementManufacturing EngineeringStrategy
2020English

Backpropagation Neural Networks Implementation for JKSE Forecasting

International Journal of Recent Technology and Engineering
EngineeringManagement of TechnologyInnovation
2019English

Application of Artificial Neural Networks to Rainfall Forecasting in the Geum River Basin, Korea

Water (Switzerland)
DevelopmentBiochemistryPlanningAquatic ScienceWater ScienceTechnologyGeography
2018English

Application of Artificial Neural Networks for Predicting Generated Wind Power

International Journal of Advanced Computer Science and Applications
Computer Science
2016English

Pruning Backpropagation Neural Networks Using Modern Stochastic Optimisation Techniques

Neural Computing and Applications
Artificial IntelligenceSoftware
1997English

Application of Artificial Neural Networks on Predicting Corrosion Rates of Carbon Steel in Taiwan Industrial Zones

2017English

Predicting Service Levels Using Neural Networks

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2017English

The Application of Backpropagation Neural Network Method to Estimate the Sediment Loads

MATEC Web of Conferences
Materials ScienceEngineeringChemistry
2017English

Application of Artificial Neural Networks in Hybrid Simulation

Applied Sciences (Switzerland)
InstrumentationMaterials ScienceFluid FlowEngineeringComputer Science ApplicationsProcess ChemistryTransfer ProcessesTechnology
2019English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy