A review on the applications of neuro-fuzzy systems in business

S Rajab, V Sharma - Artificial Intelligence Review, 2018 - Springer
This paper presents a review of the application of neuro-fuzzy systems (NFS) in business on
the basis of the research articles issued in various reputed international journals and …

A deep learning-based cryptocurrency price prediction model that uses on-chain data

G Kim, DH Shin, JG Choi, S Lim - IEEE Access, 2022 - ieeexplore.ieee.org
Cryptocurrency has recently attracted substantial interest from investors due to its underlying
philosophy of decentralization and transparency. Considering cryptocurrency's volatility and …

Aprendizado de máquina: breve introdução e aplicações

R Cerri, ACP de Leon Ferreira - Cadernos de Ciência & …, 2019 - seer.sct.embrapa.br
Neste artigo são descritos alguns problemas complexos do mundo real, enfrentados na
indústria e academia, para os quais são utilizados métodos de Aprendizado de Máquina …

Analysis and prediction of gold price using CNN and Bi-GRU based neural network model

MM Billah, S Das - 2021 24th international conference on …, 2021 - ieeexplore.ieee.org
In recent decades, gold has been one of the most sought-after commodities for long-term
and short-term investments, as investors perceive gold as a hedge against unanticipated …

The Importance of Gold's Effect on Investment and Predicting the World Gold Price Using the ARIMA and ARIMA-GARCH Model

T Bunnag - Ekonomikalia Journal of Economics, 2024 - heca-analitika.com
This paper studies the importance of gold's effect on investment and the fact that gold is
often seen as a safe-haven asset during economic uncertainty. When inflation rates rise …

Neuro-fuzzy approach in business applications: a decade survey

S Rajab, V Sharma - International Journal of Business …, 2017 - inderscienceonline.com
This paper presents a survey of the application-based research on neuro-fuzzy systems
(NFS) in business on account of the research articles published in various reputed …

Designing an efficient predictor model using PSNN and crow search based optimization technique for gold price prediction

R Dash, A Routray, R Dash… - Intelligent Decision …, 2021 - content.iospress.com
Predicting future price of gold has always been an intriguing field of investigation for
researchers as well as investors who desire to invest in present and gain profit in the future …

A Novel Approach for Correlation Analysis on FBProphet to Forecast Market Gold Rates with Linear Regression

H Kishann, L RamaParvathy - Advances in parallel computing, 2022 - ebooks.iospress.nl
This work aims to forecast gold prices for future dates using FBprophet and Linear
Regression. For predicting the gold price using Linear Regression with a sample size of …

[PDF][PDF] Exploring the effectiveness of a multilayer neural network model for gold price prediction

SL Gbadamosi, NI Nwulu… - Przeglad Elektrotechniczny, 2024 - researchgate.net
Effective gold price forecasting model is an essential tool for price discovery and
benchmarking market changes for mining project across the world. This study presents a …

[PDF][PDF] การ เปรียบเทียบ เทคนิค อนุกรม เวลา เพื่อ พยากรณ์ ราคา ทอง และ ราคา นํ้า มัน

วิ บ ล ญึ ก, จารี ทองคำ - Research on Modern science and …, 2018 - ph01.tci-thaijo.org
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การเปรียบเทียบเทคนิคอนุกรมเวลาเพื่อพยากรณราคาทองและราคานํ้ามัน Comparison of Time …