[PDF] Top 20 Prediction of the Bombay Stock Exchange (BSE) Market Returns Using Artificial Neural Network and Genetic Algorithm

Prediction of the Bombay Stock Exchange (BSE) Market Returns Using Artificial Neural Network and Genetic Algorithm

... In Genetic Algorithms terminology, the set of strings (chromosomes) forms a structure (geno- ...(genes). Genetic Algorithms are a method for moving from one popula- tion of “chromosomes” [13] (strings of 1, ... See full document

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Machine Learning and Artificial Neural Network Process – Viability and Implications in Stock Market Prediction

... the stock market. Fluctuations in the market lead to a rise and fall in index number which is the ...apt algorithm for training and testing the data for accuracy. This prediction ... See full document

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... Stock market Indices prediction is one of the most important issues in the financial ...many prediction models have been developed during the last decade, they suffer a poor performance ... See full document

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The use of artificial neural network in predicting bankruptcy and its comparison with genetic algorithm in firms accepted in Tehran Stock Exchange

... William Beaver used one variable analysis for the first time to study about financial ratios in predicting financial vulnerability. He mostly used ratios which were related to cash flows in this analysis. His model was ... See full document

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ECG SIGNAL ANALYSIS AND PREDICTION OF HEART ATTACK WITH THE HELP OF OPTIMIZED NEURAL NETWORK USING GENETIC ALGORITHM

... the Artificial Intelligence plays its role in developing efficient and optimal ...data using complex algorithms in order to discover unknown patterns in the process of knowledge ...discovery. ... See full document

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Development of Improved Artificial Neural Network Model for Stock Market Prediction

... multilayer artificial neural networks (ANN) [Kingdon, (1997); Refenes, (1995); Ziurilli, (1997)], Fuzzy logic (FL) [Ju et ...(1997)], Genetic Algorithm (GA) [Bhattacharya and Meheta,(1998)], ... See full document

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Accuracy Enhancement of Artificial Neural Network using Genetic Algorithm

... by using Artificial Neural Network optimized with Genetic Algorithm in prediction of heart disease diagnosis with UCI ...study neural network is optimized ... See full document

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A New Approach to Predict Selective Critical Stock Indices Through Artificial Neural Networks and Chaos Theory

... a neural network which is capable of learning and concluded that neural network approach can significantly better thepredictability of stock price ...used Artificial ... See full document

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National Stock Exchange Stock and Index Price Direction Prediction using Back-propagation Artificial Neural Network

... trained Neural Network can effectively predict stock security price ...various Artificial Neural Network (ANN) architecture, input parameters, model performance measured ... See full document

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Stock Market Prediction using Feed forward Artificial Neural Network

... in stock-market ...199.2% returns over a 2-year period using their neural network prediction ...Backpropagation neural network (BPNN) algorithm uses ... See full document

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Rescaled Range Analysis – A Comparative Study on Bombay Stock Exchange and National Stock Exchange

... of stock price prediction using Artificial Neural Network have been tested through several ...noted. Stock Market prediction using Artificial ... See full document

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Machine Learning on Stock Price Movement Forecast: The Sample of the Taiwan Stock Exchange

... the stock price return and the direction of its ...the stock price return (Avcı, 2007; Chen et ...on market index of the TWSE. The probabilistic neural network (PNN) is used to forecast ... See full document

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Stock Price Prediction Using Artificial Neural Network

... used prediction based neural networks approach for stock ...autoregressive neural network predictor was used to predict future stock ...National stock exchange of ... See full document

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Causality Relationship Between Interest Rate and Stock Returns in India - An Analytical Study

... security market must have a significant relationship with real and financial sectors of the ...the stock market operations especially equity ...the stock market is influenced by the ... See full document

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Multi Layer Feed Forward Neural Network Knowledge Base to Future Stock Market Prediction

... It has two inputs one from the learning system and another from standard system. The feedback system is used to determine what should be done in order to produce the correct output. In this paper a neural net is ... See full document

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Stock Market Anomalies: A Calender Effect in BSE Sensex

... Different researchers have used different event windows to study Turn of the Month Effect. Ariel (1987) while evaluating turn of the month effect, defined his event window as (-1, +4) i.e. last working day of previous ... See full document

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Spam detection using hybrid of artificial neural network and genetic algorithm

... Spam is usually economically beneficial to the sender; for this reason spam has become a critical problem. The low budget of e-mail as a communication medium virtually guaranties returns. Even though a little ... See full document

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Sugeno Type Fuzzy Inference Model for Stock Price Prediction

... [18] Study stock trend prediction system based on Artificial Neural Network ANN and fuzzy logic rules using technical indicators and Elliott’s wave theory.. In this approach the neural n[r] ... See full document

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Predicting Stock Prices Using Polynomial Classifiers: The Case of Dubai Financial Market

... Predicting stock price movements is a challenging task for academicians and ...decisions. Artificial Neural Networks (ANN) have been used widely in predicting stock prices because of their ... See full document

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Prediction Of Stock Market Exchange Using LSTM Algorithm

... paper neural network model was used and Long Short Term Memory (LSTM) which is a type of Sequential and ...of neural network model that has many form of a simple neural network ... See full document

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