Investment in a financial market is aimed at getting higher benefits; this complex market is
influenced by a large number of events wherein the prediction of future market dynamics is …

The recent availability of enormous amounts of both data and computing power has created
new opportunities for predictive modeling. This paper compiles an analytical framework …

Abstract Purpose The Group Method of Data Handling (GMDH) neural network has
demonstrated good performance in data mining, prediction, and optimization. Scholars have …

In the nervous system, information is conveyed by sequence of action potentials, called
spikes-trains. As MacKay and McCulloch suggested, spike-trains can be represented as bits …

Previous studies on decision analyses typically assume a single reference point, yet under a
complex environment, decision behavior is often influenced by multiple reference points …

Foreign exchange trading activities are one of the businesses that can generate big profits,
and provide freedom for business people without the need to provide a large capital …

In the process of information fusion for medical data, there are some problems, such as low
precision of data cleaning and more omission of duplicate data, which lead to the …

Prediction of stock price and modelling of market pattern are quite difficult and complex to
understand itself. There are hidden factors of market like effect of news, sentiment of crowd …