1D-CapsNet-LSTM: A Deep Learning-Based Model for Multi-Step Stock Index Forecasting

no code implementations • 3 Oct 2023 • Cheng Zhang, Nilam Nur Amir Sjarif, Roslina Ibrahim

Given the superiority of capsule network (CapsNet) over CNN in various forecasting and classification tasks, this study investigates the potential of integrating a 1D CapsNet with an LSTM network for multi-step stock index forecasting.

Decision Making

Deep learning models for price forecasting of financial time series: A review of recent advancements: 2020-2022

no code implementations • 21 Apr 2023 • Cheng Zhang, Nilam Nur Amir Sjarif, Roslina Ibrahim

Accurately predicting the prices of financial time series is essential and challenging for the financial sector.

Model Selection Time Series +1

Handwritten Recognition Using SVM, KNN and Neural Network

no code implementations • 1 Feb 2017 • Norhidayu Abdul Hamid, Nilam Nur Amir Sjarif

Handwritten recognition (HWR) is the ability of a computer to receive and interpret intelligible handwritten input from source such as paper documents, photographs, touch-screens and other devices.

General Classification