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Forecasting of Stock Prices Using Multi Layer Perceptron
7 references·9 citing·51 second hop
Forecasting of Stock Prices Using Multi Layer Perceptron (2013)Forecasting of Stock Prices Using Multi L…Price Prediction of Share Market Using Artificial Neural Network 'ANN' (2011)Price Prediction of Share Mar…Stock market forecasting using hidden Markov model: a new approach (2005)Stock market forecasting usin…Forecasting stock market movement direction with support vector machine (2004)Forecasting stock market move…Forecasting with artificial neural networks: (1998)Forecasting with artificial n…Uncovering Nonlinear Structure In Real-Time Stock-Market Indexes: The S&P 500, the DAX, the Nikkei 225, and the FTSE-100 (1997)Uncovering Nonlinear Structur…Designing a neural network for forecasting financial and economic time series (1996)Designing a neural network fo…Bankruptcy prediction using neural networks (1994)Bankruptcy prediction using n…Using a novel clustered 3D-CNN model for improving crop future price prediction (2022)Using a novel clustered 3D-CN…CryptoNet: Using Auto-Regressive Multi-Layer Artificial Neural Networks to Predict Financial Time Series (2022)CryptoNet: Using Auto-Regress…Applications of Big Data Analytics in Investment Management (2022)Applications of Big Data Anal…A cooperative deep learning model for stock market prediction using deep autoencoder and sentiment analysis (2022)A cooperative deep learning m…Prediction of Bitcoin price based on manipulating distribution strategy (2021)Prediction of Bitcoin price b…Predicting Stock Prices Using Machine Learning Methods and Deep Learning Algorithms: The Sample of the Istanbul Stock Exchange (2020)Predicting Stock Prices Using…Share Price Prediction using Machine Learning Technique (2018)Share Price Prediction using …An Ensemble Stock Predictor and Recommender System (2018)An Ensemble Stock Predictor a…Stock price prediction using LSTM, RNN and CNN-sliding window model (2017)Stock price prediction using …Book Review: Time Series Analysis: Forecasting and Control (1977)Autoregressive 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networks and support vector machines: The sample of the Istanbul Stock Exchange (2010)Predicting stock and stock price index movement using Trend Deterministic Data Preparation and machine learning techniques (2014)A deep learning framework for financial time series using stacked autoencoders and long-short term memory (2017)Nonlinear Dynamics and Stock Returns (1989)Efficient Capital Markets: II (1991)A test for independence based on the correlation dimension (1996)Entropy and predictability of stock market returns (2002)The use of data mining and neural networks for forecasting stock market returns (2005)THE EVOLUTION OF STOCK MARKET EFFICIENCY OVER TIME: A SURVEY OF THE EMPIRICAL LITERATURE (2010)Financial Ratios As Predictors of Failure (1966)FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)Positive Accounting Theory (1985)Artificial neural networks in bankruptcy prediction: General framework and cross-validation analysis (1999)Bankruptcy prediction for credit risk using neural networks: A survey and new results (2001)Stock market prediction system with modular neural networks (1990)Application Of Neural Network To Technical Analysis Of Stock Market Prediction (2001)Stock market trend prediction using ARIMA-based neural networks (2002)The interactive effects of online reviews on the determinants of Swiss hotel performance: A neural network analysis (2015)A systematic review of fundamental and technical analysis of stock market predictions (2019)A Comprehensive Comparative Study of Artificial Neural Network (ANN) and Support Vector Machines (SVM) on Stock Forecasting (2021)Economic prediction using neural networks: the case of IBM daily stock returns (1988)Financial Forecasting Using Support Vector Machines (2001)A fusion model of HMM, ANN and GA for stock market forecasting (2006)Integration of genetic fuzzy systems and artificial neural networks for stock price forecasting (2010)Short-term stock market price trend prediction using a comprehensive deep learning system (2020)Time Series Analysis Forecasting and Control. (1971)25 years of time series forecasting (2006)Stock Closing Price Prediction using Machine Learning Techniques (2020)Applications of deep learning in stock market prediction: Recent progress (2021)Generación de series de tiempo financieras sintéticas para "data augmentation" usando redes neuronales generativas adversarias (GAN) (2021)Sentiment-aware stock market prediction: A deep learning method (2017)Stock market's price movement prediction with LSTM neural networks (2017)Analysis and forecasting of Time-Series data using S-ARIMA, CNN and LSTM (2021)An artificial neural network (p,d,q) model for timeseries forecasting (2009)Stock Price Prediction Using the ARIMA Model (2014)Deep learning networks for stock market analysis and prediction: Methodology, data representations, and case studies (2017)Time series prediction for cryptocurrency markets with transformer and parallel convolutional neural networks (2025)
this work references cited by second hop

References

  • 1998Forecasting with artificial neural networks:4,282 cited
  • 2004Forecasting stock market movement direction with support vector machine1,163 cited
  • 1996Designing a neural network for forecasting financial and economic time series1,092 cited
  • 1994Bankruptcy prediction using neural networks722 cited
  • 2005Stock market forecasting using hidden Markov model: a new approach382 cited
  • 1997Uncovering Nonlinear Structure In Real-Time Stock-Market Indexes: The S&P 500, the DAX, the Nikkei 225, and the FTSE-100187 cited
  • 2011Price Prediction of Share Market Using Artificial Neural Network 'ANN'111 cited

Cited by

  • 2017Stock price prediction using LSTM, RNN and CNN-sliding window model1,134 cited
  • 2022Using a novel clustered 3D-CNN model for improving crop future price prediction54 cited
  • 2018An Ensemble Stock Predictor and Recommender System39 cited
  • 2020Predicting Stock Prices Using Machine Learning Methods and Deep Learning Algorithms: The Sample of the Istanbul Stock Exchange37 cited
  • 2018Share Price Prediction using Machine Learning Technique33 cited
  • 2021Prediction of Bitcoin price based on manipulating distribution strategy33 cited
  • 2022CryptoNet: Using Auto-Regressive Multi-Layer Artificial Neural Networks to Predict Financial Time Series

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27 cited
  • 2022A cooperative deep learning model for stock market prediction using deep autoencoder and sentiment analysis26 cited
  • 2022Applications of Big Data Analytics in Investment Management8 cited