The paper proposed an improved bacterial chemotaxis optimization (IBCO), which is then integrated into the back propagation (BP) artificial neural network.
DOI:10.1016/j.eswa.2008.11.028; Corpus ID: 20839621. Stock market prediction of S&P 500 via combination of improved BCO approach and BP neural network.
Oct 22, 2024 · The paper proposed an improved bacterial chemotaxis optimization (IBCO), which is then integrated into the back propagation (BP) artificial ...
The paper proposed an improved bacterial chemotaxis optimization (IBCO), which is then integrated into the back propagation (BP) artificial neural network ...
In this paper, we compare the effectiveness of Support Vector Machine (SVM) and Artificial Neural Network (ANN) models for the prediction of option price. Both ...
People also ask
Is it possible to predict stock prices with a neural network?
Which neural network is being used primarily to predict the price of a stock?
Which type of neural network is used by stock market in this is?
Z. Yudong and W. Lenan, “Stock Market Prediction of S & P 500 via Combination of Improved BCO Approach and BP Neural Network,” Expert Systems with Applications, ...
Missing: S&P | Show results with:S&P
Wu, “Stock market prediction of S&P500 via combination of improved BCO approach and BP neural network,” Expert Syst. Appl., vol. 36, no. 5, pp. 8849–8854 ...
This paper presents a stock price forecast model using LM-BP algorithm, which has adopted three-layer back propagation neural networks.
This study explains the systematics of machine learning-based approaches for stock market prediction based on the deployment of a generic framework.
[PDF] A Genetic Programming Model for S&P 500 Stock Market Prediction
article.nadiapub.com › vol6_no6
[9] Y. Zhang and L. Wu, “Stock market prediction of S&P 500 via combination of improved BCO approach and BP neural network,” Expert Systems with ...