Artificial intelligence applications in finance: a survey

X Li, A Sigov, L Ratkin, LA Ivanov… - Journal of Management …, 2023 - Taylor & Francis
Finance is in our daily life. We invest, borrow, lend, budget, and save money. Finance also
provides guidelines for corporation and government spending and revenue collection …

Prediction of flow discharge in Mahanadi River Basin, India, based on novel hybrid SVM approaches

S Samantaray, A Sahoo - Environment, Development and Sustainability, 2024 - Springer
Accurate monthly flow discharge prediction can yield significant evidence for sustainable
management of water resources systems, optimal water allocation and use, mitigating flood …

Online learning of the transmission matrix of dynamic scattering media

L Valzania, S Gigan - Optica, 2023 - opg.optica.org
Following recent advancements in wavefront shaping, optical methods have proven crucial
for imaging and light control in multiply scattering media, such as biological tissues …

An ant-lion optimizer-trained artificial neural network system for chaotic electroencephalogram (EEG) prediction

U Kose - Applied Sciences, 2018 - mdpi.com
The prediction of future events based on available time series measurements is a relevant
research area specifically for healthcare, such as prognostics and assessments of …

A hybrid intelligent prediction model of autoencoder neural network and multivariate adaptive regression spline for uniaxial compressive strength of rocks

EN Asare, M Affam, YY Ziggah - Modeling Earth Systems and Environment, 2023 - Springer
In geomechanics, the determination of uniaxial compressive strength (UCS) from typical
laboratory procedures is a challenging and time-consuming operation, when dealing with …

Identification by recursive least squares with Kalman filter (RLS-KF) applied to a robotic manipulator

DA De Souza, JG Batista, FJS Vasconcelos… - IEEE …, 2021 - ieeexplore.ieee.org
The field of robotics has grown a lot over the years due to the increasing necessity of
industrial production and the search for quality of industrialized products. The identification …

MASCA–PSO based LLRBFNN model and improved fast and robust FCM algorithm for detection and classification of brain tumor from MR image

S Mishra, P Sahu, MR Senapati - Evolutionary Intelligence, 2019 - Springer
A novel modified adaptive sine cosine optimization algorithm (MASCA) integrated with
particle swarm optimization (PSO) based local linear radial basis function neural network …

Retracted article: Prediction research of financial time series based on deep learning

Z Xu, J Zhang, J Wang, Z Xu - Soft Computing, 2020 - Springer
Currently, the world economics develops rapidly, and the finance business also develops
promptly. As there are more financial activities, the uncertainty of change trend in financial …

A competitive functional link artificial neural network as a universal approximator

E Lotfi, AA Rezaee - Soft Computing, 2018 - Springer
In this article, a competitive functional link artificial neural network (C-FLANN) is proposed
for function approximation and classification problems. In contrast to the traditional functional …

Novel evolutionary multi-objective soft subspace clustering algorithm for credit risk assessment

C Liu, J Xie, Q Zhao, Q Xie, C Liu - Expert Systems with Applications, 2019 - Elsevier
The financial liberalization and globalization have increased the need for expert and
intelligent systems to deal with credit risk management works. Clustering algorithms are …