An efficient stock market prediction model using hybrid feature reduction method based on variational autoencoders and recursive feature elimination

Stock Market Trends Prediction Using Neural Network Based Hybrid Model

It is difficult to find out which is more effective and accurate method for stock rate prediction so that a buy or sell signal can be generated for given stocks. This paper presents a number of technical indicators and Back Propagation Neural Network to predict the stock price of the day. Stock rate prediction accuracy of different technical indicators and backpropagation neural network has bee...

Partial Discharge Feature Selection and Evaluation Using an Enhanced Recursive Feature Elimination (rfe) Algorithm

This paper presents a novel approach for feature selection and evaluation, i.e. a process for reducing and finding an optimal subset of features from an initial set that describes a known dataset. The initial set is used to classify the data into groups, the optimal subset of features disregard unnecessary features that are redundant, which results in better understanding of the classification ...

Forecasting Stock Price using Hybrid Model based on Wavelet Transform in Tehran and New York Stock Market

Forecasting financial markets is an important issue in finance area and research studies. On one hand, the importance of prediction, and on the other hand, its complexity, have led to huge number of researches which have proposed many forecasting methods in this area. In this study, we propose a hybrid model including Wavelet Transform, ARMA-GARCH and Artificial Neural Network (ANN) for single-...

An efficient bit-based feature selection method

Feature selection is about finding useful (relevant) features to describe an application domain. Selecting relevant and enough features to effectively represent and index the given dataset is an important task to solve the classification and clustering problems intelligently. This task is, however, quite difficult to carry out since it usually needs a very time-consuming search to get the featu...

Prediction of post-synaptic activity in proteins using recursive feature elimination