Adaptive pattern recognition and neural networks
Adaptive pattern recognition and neural networks
Elements of artificial neural networks
Elements of artificial neural networks
Computers and Operations Research - Special issue: Emerging economics
Artificial Neural Networks in Finance and Manufacturing
Artificial Neural Networks in Finance and Manufacturing
Neural Networks
DJIA stock selection assisted by neural network
Expert Systems with Applications: An International Journal
Enhancing MLP networks using a distributed data representation
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Identification of nonlinear dynamic systems using functional linkartificial neural networks
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Nonlinear channel equalization for QAM signal constellation usingartificial neural networks
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Neural Networks
Computational learning techniques for intraday FX trading using popular technical indicators
IEEE Transactions on Neural Networks
Model Risk for European-Style Stock Index Options
IEEE Transactions on Neural Networks
A Hybrid Neurogenetic Approach for Stock Forecasting
IEEE Transactions on Neural Networks
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We propose a computationally efficient and effective novel neural network for predicting the next-day's closing price of US stocks in different sectors: technology, energy and finance. In this paper we used a computationally efficient functional link artificial neural network (FLANN) in making stock price prediction. We modeled the trend in stock price movement as a dynamic system and apply FLANN to predict the stock price behavior. In addition to historical pricing data, we considered other financial indicators such as the industrial indices and technical indicators, for better accuracy. We showed its superior performance by comparing with a multilayer perceptron (MLP)-based model through several experiments based on different performance metrics, namely, computational complexity, root mean square error, average percentage error and hit rate.