[PDF] Top 20 Stock Price Prediction using Artificial Neural Model: An Application of Big Data
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Stock Price Prediction using Artificial Neural Model: An Application of Big Data
... every prediction based application of neural network it is also having one output ...this model: Date, opening price, high of the day, low of the day, volume and sentiment score are the ... See full document
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Machine Learning and Artificial Neural Network Process – Viability and Implications in Stock Market Prediction
... purpose. Data Mining is one of the methods wherein this hidden information can be extracted and disseminated to the ...Indian stock market and an Indian stock market is a place where every type of ... See full document
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Applications of Neural Networks in Stock Market Prediction An Approach Based Analysis
... Neuro-fuzzy Model can be used with decision tree to develop a stock market prediction ...of neural network and fuzzy inference system (FIS) in such a way that the Neural Network ... See full document
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The Application Model of BP Neural Network for Health Big Data
... the artificial neural network can be divided into four types: forward to the network, there is feedback to the former network, the layer before the interconnection network and the whole or part of the ... See full document
6
Social Spider Optimization with Tumbling Effect Based Data Classification Model for Stock Price Prediction
... approach using SSO algorithm for image enhancement is presented in ...for data classification problem to identify the classes for every applied ...the data classification process to classify the ... See full document
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The Prediction of Stock Price Based on Improved Wavelet Neural Network
... the stock prices by observing the law of data, such as Autoregressive Integrated Moving Average Model (ARIMA) [3], support vector machine [4] and neural net- work (NN), wavelet neural ... See full document
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Abstract: This paper presents a study of artificial neural networks for use in stock price prediction. The goal
... many stock market experts have employed technical analysis for better ...historical data can be used directly to form support and resistance levels, or they can be plugged into many technical indicators for ... See full document
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Andreassen and Artificial Neural Network Models Development for Fatality Prediction with Accessibility Aspect on Regency Area Cluster in West Java Province, Indonesia
... type model developments with one and two hidden layer and multi- variable year 2007-2010 in line with areas characteristics and road transportation infrastructure condition in West Java Province, ...Andreassen ... See full document
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Comparison of exponential time series alignment and time series alignment using artificial neural networks by example of prediction of future development of stock prices of a specific company
... first neural network differs from others. It is a neural network of the basic radial ...preserved neural networks, the error function was determined by the sum of the smallest ...preserved ... See full document
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Stock Market Prediction using Feed forward Artificial Neural Network
... of stock market returns has been one of the most challenging problem to the AI ...of prediction research has been largely beyond the capability of traditional AI research which has mainly focused on ... See full document
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Prediction of Stock market using Machine Learning and Artificial Neural Network
... empty data and make it uniform. After pre- processing is done, the Data will undergo scaling to bring data on a common ...The data will be split into Training, Development and Test Data ... 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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The Stock Price Crash Risk Prediction by Neural Network
... the neural network ...logistic model (based on the same variables used in neural network model) in Table 5, and the results from a random forecast in Table ...each model. The cutoff is ... See full document
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Prediction Using Back Propagation and k-Nearest Neighbour (k-NN) Algorithm
... ABSTRCT: Prediction of Stock Prices is not only inquisitiveness but also the very challenging ...predict stock prices for sample of some major companies using back propagation and k-nearest ... See full document
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Stock Price Prediction Using Artificial Neural Network
... feedforward neural network with one or more layers between input and output ...input data onto a set of appropriate outputs. Feedforward means that data flows in one direction from input to output ... See full document
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Prediction of Stock Prices Using Artificial N...
... defines artificial neural networks, section III describes the applications of neural networks, section IV shows the characteristics of artificial neural networks, section V presents the ... See full document
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Development of Improved Artificial Neural Network Model for Stock Market Prediction
... year’s prediction of stock market returns is a hottest field of research in ...finance. Artificial Neural Network (ANN) is a technique that is heavily researched and widely used in ... See full document
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ARTIFICIAL NEURAL NETWORKS – AN APPLICATION TO STOCK MARKET VOLATILITY
... squares model assumes that the expected value of error terms, when squared, is the same at any given point of ...models. Data in which the variances of the error terms are not equal, or in which the error ... See full document
10
Price Prediction of Stock Market using Hybrid Model of Artificial Intelligence
... the stock market is chaos ...the stock market is chaotic and not simply random, chaos theory contradicts the ...characterized using regression fitting, while the random process can be characterized by ... See full document
5
Stock Price Prediction using combination of LSTM Neural Networks, ARIMA and Sentiment Analysis
... by using posterior probability of sentiment given a sentence P(sentiment | sentence) ...The model feed to a learning application with and has a precision of ...An application of LSTM ... See full document
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