This paper surveys recent literature in the domain of machine learning techniques and
artificial intelligence used to predict stock market movements. Artificial Neural Networks …

Time series forecasting, as an important tool in many decision support systems, has been
extensively studied and applied for sales forecasting over the past few decades. There are …

Data mining is the use of algorithms to extract the information and patterns derived by the
knowledge discovery in databases process. Classification is a very common data mining …

In this study, application of a versatile approach for estimation moisture content of dried
banana using neural network and genetic algorithm has been presented. The banana …

This proposed text appears to be a good introduction to evolutionary computation for use in
applied statistics research. The authors draw from a vast base of knowledge about the …

In this study, effect of osmotic dehydration and hot air-drying conditions on shrinkage,
rehydration capacity, and moisture content of dried kiwifruit was investigated and artificial …

In this paper, based on the combination of the back-propagation network (BPN) and the self-
organizing map (SOM), a groundwater level forecasting model is proposed, named …

In literature a number of different methods are proposed to improve the prediction accuracy
of grey models. However, most of them are computationally expensive, and this may prohibit …

Though machine learning has been applied to the foreign exchange market for algorithmic
trading for quiet some time now, and neural networks (NN) have been shown to yield …

The past researches emphasize merely the avoidance of over-learning at the system level
and ignore the problem of over-learning at the model level, which lead to the poor …