Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper
Query: Training Neural Networks for Financial Forecasting: Backpropagation vs Particle Swarm Optimization
Artificial Neural Networks Approach to the Forecast of Stock Market Price Movements
Neural Networks and Financial Trading and the Efficient Markets Hypothesis
Training a Feed-forward Neural Network with Artificial Bee Colony Based Backpropagation Method
An empirical methodology for developing stockmarket trading systems using artificial neural networks
A Stock Market Forecasting Model Combining Two-Directional Two-Dimensional Principal Component Analysis and Radial Basis Function Neural Network
Multi-task Learning for Financial Forecasting
The principles and practice of time series forecasting and business modelling using neural nets
Stock market forecasting using recurrent neural network
Stock market prediction using an improved training algorithm of neural network
A new ART-counterpropagation neural network for solving a forecasting problem
Effectiveness of PSO Based Neural Network for Seasonal Time Series Forecasting.
Neural Networks and Wavelet De-Noising for Stock Trading and Prediction
Integration of genetic fuzzy systems and artificial neural networks for stock price forecasting
A Comparison of LSTMs and Attention Mechanisms for Forecasting Financial Time Series
Advances in forecasting with neural networks ? Empirical evidence from the NN 3 competition on time series prediction
Study on stock price prediction based on BP Neural Network
Back-Propagation Neural Network Combined With a Particle Swarm Optimization Algorithm for Travel Package Demand Forecasting
Forecasting with artificial neural networks : The state of the art *
Time series forecasting by evolving artificial neural networks with genetic algorithms, differential evolution and estimation of distribution algorithm
Artificial neural networks in accounting and finance: modeling issues
Consistent Regions: Guaranteed Tuple Processing in IBM Streams
Selecting the right objective measure for association analysis
Power-Scaled Spectral Flux and Peak-Valley Group-Delay Methods for Robust Musical Onset Detection
Phylogenetic convolutional neural networks in metagenomics
The Evidence Framework Applied to Classification Networks