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Hybrid model based on genetic algorithms and neural networks to forecast tax collection: Application using endogenous and exogenous variables

https://doi.org/10.1109/intercon.2017.8079660
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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/mde.4090030112openalex-snapshot
Fundamentals of managerial economics
inferredcites →https://doi.org/10.1093/acprof:oso/9780199228676.005.0001openalex-snapshot
Discrete Fourier transforms
inferredcites →https://doi.org/10.1109/eeeic.2010.5490018openalex-snapshot
Use of exogenous data to improve an Artificial Neural Networks dedicated to daily global radiation forecasting
inferredcites →https://doi.org/10.1201/9781420036206openalex-snapshot
Time-Series Forecasting
inferredcites →https://doi.org/10.5381/jot.2010.9.2.c2openalex-snapshot
The Discrete Fourier Transform, Part 6: Cross-Correlation.

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4460041openalex-extracted
Segmented Learning Architecture Model for Analytical Tax Revenue Forecasting Based on Electronic Invoice Information
inferred← citeshttps://doi.org/10.1007/978-3-319-92007-8_26openalex-snapshot
The Random Neural Network with a Genetic Algorithm and Deep Learning Clusters in Fintech: Smart Investment
inferred← citeshttps://doi.org/10.1007/978-3-319-97982-3_11openalex-snapshot
Fintech Bitcoin Smart Investment Based on the Random Neural Network with a Genetic Algorithm
inferred← citeshttps://doi.org/10.1007/s00521-019-04231-8openalex-snapshot
Genetic and deep learning clusters based on neural networks for management decision structures
inferred← citeshttps://doi.org/10.1016/j.procs.2018.07.288openalex-snapshot
Fintech Model: The Random Neural Network with Genetic Algorithm
inferred← citeshttps://doi.org/10.1016/j.scs.2021.103329openalex-snapshot
Vulnerability modeling, assessment, and improvement in urban metro systems: A probabilistic system dynamics approach
inferred← citeshttps://doi.org/10.1080/15309576.2022.2073551openalex-snapshot
For Better or Worse? Revenue Forecasting with Machine Learning Approaches
inferred← citeshttps://doi.org/10.1145/3406601.3406617openalex-snapshot
ARMA Model for Revenue Prediction
inferred← citeshttps://doi.org/10.1145/3524304.3524337openalex-snapshot
Revenue Prediction for Malaysian Federal Government Using Machine Learning Technique
inferred← citeshttps://doi.org/10.32749/nucleodoconhecimento.com.br/computer-engineering/learning-modelopenalex-snapshot
Learning Model for Analytical Prediction of Tax Revenues from Tax Invoice Information
inferred← citeshttps://doi.org/10.55959/msu0130-0105-6-60-2-1openalex-snapshot
Short-term forecasting of budget tax revenue: methods used and their relevance for Russia
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