[HTML][HTML] Integrating PCA with deep learning models for stock market Forecasting: An analysis of Turkish stocks markets

T Uçkan - Journal of King Saud University-Computer and …, 2024 - Elsevier
Financial data such as stock prices are rich time series data that contain valuable
information for investors and financial professionals. Analysis of such data is critical to …

Prediction of values of Borsa Istanbul Forest, Paper, and Printing Index using machine learning methods

I Akyüz, K Polat, S Bardak, N Ersen - BioResources, 2024 - search.proquest.com
It is difficult to predict index values or stock prices with a single financial formula. They are
affected by many factors, such as political conditions, global economy, unexpected events …

Forecasting Airline Passenger Growth: Comparative Study LSTM VS Prophet VS Neural Prophet

N Afarini, D Hindarto - Sinkron: jurnal dan penelitian teknik …, 2024 - jurnal.polgan.ac.id
To conduct an exhaustive examination of airline passenger growth prediction methods, this
study compares the performance of three distinct strategies: LSTM, Prophet, and Neural …

ML techniques in portfolio management

GC Herbert - 2024 - essay.utwente.nl
It is generally assumed that with efficient markets, it is not possible to make accurate stock
price predictions. With the rise and rapid development of ML models in recent years, this …

[PDF][PDF] Artificial neural network for finances in MYPES according to internal factors in response to the demand of the Chancay Mega port

MA Leon-Julca, BPOC Doctor, D Palomino-Tiznado… - laccei.org
This research aimed to evaluate the Artificial Neural Network as a predictor of financial
operations in MYPES according to internal factors, which allowed meeting the demand of …

[PDF][PDF] BERRAKLAŞTIRMA YÖNTEMİ SEÇİMİNİN BULANIK ÇIKARIM SİSTEMLERİNİN PERFORMANSINA ETKİSİNİN DEĞERLENDİRİLMESİ

ÖÜMÖ CİNGİZ, A Fatih - researchgate.net
ÖZET Gündelik yaşantımızda yapay zekâ ile geliştirilmiş sistemler evlerimizdeki aletlerde,
araçlarımızda, telefonlarımızda ve hayatımızın her bir alanında sıklıkla kullanmaktadır. Bu …