Artificial Intelligence
Using GPT-2 Model and Hazm Library for Persian Text Generation

M. Soluki; Z. Askarinejadamiri; N. Zanjani

Volume 12, Issue 2 , July 2024, , Pages 295-304

https://doi.org/10.22061/jecei.2023.10101.690

Abstract
  Background and Objectives: This article explores a method for generating Persian texts using the GPT-2 language model and the Hazm library. Researchers and writers often require tools that can assist them in the writing process and even think on their behalf in various domains. By leveraging the GPT-2 ...  Read More

Artificial Intelligence
Clustering of Triangular Fuzzy Data based on Heuristic Methods

N. Ghanbari; S. H. Zahiri; H. Shahraki

Volume 12, Issue 1 , January 2024, , Pages 1-14

https://doi.org/10.22061/jecei.2023.9641.645

Abstract
  Background and Objectives: In this paper, a new version of the particle swarm optimization (PSO) algorithm using a linear ranking function is proposed for clustering uncertain data. In the proposed Uncertain Particle Swarm Clustering method, called UPSC method, triangular fuzzy numbers (TFNs) are used ...  Read More

Artificial Intelligence
Stock Price Prediction using Machine Learning and Swarm Intelligence

I. Behravan; S. M. Razavi

Volume 8, Issue 1 , January 2020, , Pages 31-40

https://doi.org/10.22061/jecei.2020.6898.346

Abstract
  Background and Objectives: Stock price prediction has become one of the interesting and also challenging topics for researchers in the past few years. Due to the non-linear nature of the time-series data of the stock prices, mathematical modeling approaches usually fail to yield acceptable results. Therefore, ...  Read More