IEEE

Radial Basis Function Neural Networks-Based Surrogate Model for Dynamic Multi-Objective Optimization

Abstract: This paper introduces a novel surrogate modeldriven strategy to solve dynamic multi-objective optimization problems (DMOPs) with time-varying objective functions. This strategy holds promise ...
Risk

A k-means++-improved radial basis function neural network model for corporate financial crisis early warning: an empirical model validation for Chinese listed companies

An early warning of corporate financial crises has long been the focus of investors and enterprises. Integrated early warning models for financial crises perform better than normal models, but most ...
JSTOR Daily

Stock price trend prediction using Bayesian regularised radial basis function network model

This paper introduces Bayesian regularised radial basis function network (BR-RBFN) as a novel approach to capture the 1-day daily future stock price movement. Naturally, the existence of prolonged ...