No significant conclusions could be drawn from the results for the long-term perspective.ANOVA, Backpropagation, Configurations, Stock Prediction, Artficial Neural NetworksMunasinghe, AroshineVlajic, DajanaHakob Grigoryan(2015), " Stock Market Prediction using Artificial Neural Networks: Case Study of ...
Providing non-linear learning and smooth interpolation capabilities neural networks are presenting an interesting alternative to traditional concepts for solving problems with regard to prediction of financial markets. This paper discusses a buying and selling timing prediction system for the DAX (German St...
Prediction of stock market returns is an important issue in finance. Artificial neural networks have been used in stock market prediction during the last decade. Studies were performed for the prediction of stock index values as well as daily direction of change in the index. In some applications...
In this research, we study the problem of Chinese stock market forecasting using traditional Neural Network methods, including Deep Feedforward Network, Convolution Neural Network(CNN), Recurrent Neural Network(RNN), Long Short-Term Memory(LSTM) and we have also integrate with the Bi-direction techn...
微笑**的猫 上传1.12 MB 文件格式 zip genetic-algorithm matlab meta-heuristic neural-network stock-market Matlab Module for Stock Market Prediction using Simple NN 点赞(0) 踩踩(0) 反馈 所需:1 积分 电信网络下载 我的世界粒子特效音乐 2025-01-30 01:10:59 积分:1 ...
A., & Morris, S. A. (2008). Predicting trading signals of stock market indices using neural networks. In AI 2008: Advances in artificial intelligence. In W. Wobcke & M. Zhang (Eds.). Lecture notes in computer science (Vol. 5360, pp. 522-531). Berlin, Heidelberg: Springer-Verlag....
This paper also provides the effect of various topological parameters on the accuracy and training time of neural networks. A topology of neural network is proposed for the prediction of Indian stock market index S&P CNX NIFTY.doi:10.1080/02564602.2006.11657936Rihani, V...
A novel neural network ensemble model is proposed for stock market prediction.First of all,the original data of time series are reconstructed for reduction the noise and extraction the tendency by Singular Spectrum Analysis(SSA).Secondly,C-C algorithm are adopted to confirm the best delay time and...
Stock Prediction Using Artificial Neural Networks Stock market remains one of the major means of investment for investors for at least a couple of decades. The Bombay Stock Exchange (BSE) is one of the India's major stock exchanges and of the oldest exchanges across the world. An attemp......
forstockmarketprediction. FujitsuandNikkoSecuritiesareworkingtogethertodevelopTOPIX’sabuyingandsellingpredictionsystem. Theinputconsistsofseveraltechnicalandeconomicindexes.Inoursystem,severalmodularneuralnetworks leamedtherelationshipsbetweenthepasttechnicalandeconomicindexesandthetimingforwhentobuyandsell. Aprediction...