A novel decision fusion approach for sale price prediction using Elastic Net and MOPSO

AE Chaleshtori - arXiv preprint arXiv:2403.20033, 2024 - arxiv.org
Price prediction algorithms propose prices for every product or service according to market
trends, projected demand, and other characteristics, including government rules …

Micro-extended belief rule-based system with activation factor and parameter optimization for industrial cost prediction

S Wang, FF Ye, LH Yang, J Liu, H Wang… - International Journal of …, 2023 - Springer
Industrial cost is a comprehensive indicator to reflect industrial behaviors, whereas industrial
data with annotation are rare because the annotation process is very expensive. Data …

[HTML][HTML] Chinese Residents' Willingness to Buy Housing: An Evaluation in Nanyang City, Henan Province, China Based on the Extension Cloud Model

Y Feng, MA Wahab, NAB Azmi, H Yan, H Wu - Buildings, 2022 - mdpi.com
Real estate has always been a key industry associated with China's economic and social
development, and the real estate market has fluctuated violently in recent years. An …

[PDF][PDF] DNEF: A New Ensemble Framework Based on Deep Network Structure.

S Yang, G Song, Y Deng, C Liu… - Computers, Materials & …, 2023 - cdn.techscience.cn
Deep neural networks have achieved tremendous success in various fields, and the
structure of these networks is a key factor in their success. In this paper, we focus on the …

WDBM: Weighted Deep Forest Model Based Bearing Fault Diagnosis Method

L Gao, X Wang, T Wang… - Computers, Materials and …, 2022 - scholars.cityu.edu.hk
In the research field of bearing fault diagnosis, classical deep learning models have the
problems of too many parameters and high computing cost. In addition, the classical deep …

[HTML][HTML] Self-adaptive trajectory prediction for improving traffic safety in cloud-edge based transportation systems

B Xie, K Zhang, Y Zhao, Y Zhang, Y Cai… - Journal of Cloud …, 2021 - Springer
Intelligent transportation brings huge benefits to humans' life and Industrial production in
terms of vehicle control and traffic management. Now, the development of edge-cloud …

A Novel Used Vehicles Price Prediction Model Based on Denoising Autoencoder With Convolution Operation

X Yue, L Xue, T Ji - IEEE Transactions on Intelligent …, 2022 - ieeexplore.ieee.org
Accurate prediction of the price of used vehicles can effectively reduce the undesirable
behavior of intermediary platforms that mark up prices indiscriminately, make the link of …

The prediction of closing prices of company stocks using random forests and artificial neural networks

B Dhyani, A Jain, A Barthwal, M Kumar - AIP Conference Proceedings, 2022 - pubs.aip.org
Tracking accurate movement of stock market is a difficult job for investors in recent times due
to the nonlinear behavior and volatility of the stocks, which gets affected because of different …

[HTML][HTML] 面向混合数据的代价敏感三支决策边界域分类方法

周阳阳, 钱文彬, 王映龙, 彭莉莎, 曾武序 - 智能系统学报, 2021 - html.rhhz.net
针对现有三支决策模型的研究对象多为单一性数据的决策系统, 对于混合数据边界域样本处理的
研究相对较少, 本文面向混合数据提出了基于核属性的代价敏感三支决策边界域分类方法 …

The model of local wisdom for smart wellness tourism with optimization multilayer perceptron

S Jatmika, S Patmanthara… - … of Theoretical and …, 2024 - repository.uin-malang.ac.id
This study focuses on the influence of variations in the number of hidden layers in the
Artificial Neural Network (ANN) method on model performance and interpretability of results …