Evidence exists that emerging market stock returns are influenced by a different set of factors
than those that influence the returns for stocks traded in developed countries. This study …

Recently, Bayesian probabilistic models have been used for predicting software
development effort. One of the reasons for the interest in the use of Bayesian probabilistic …

The ability of the extreme learning machine (ELM) is investigated in modelling groundwater
level (GWL) fluctuations using hydro-climatic data obtained for Hormozgan Province …

We propose a threshold-varying artificial neural network (TV-ANN) approach for solving the
binary classification problem. Using a set of simulated and real-world data set for bankruptcy …

Marketing research suggests that it is more expensive to recruit a new customer than to
retain an existing customer. In order to retain existing customers, academics and …

This paper addresses the problem of predicting demand for natural gas for the purpose of
realizing energy cost savings. Daily monitoring of a rooftop unit wireless sensor system …

Using several association and classification approaches to study breast cancer patterns, this
study illustrates how these approaches can be used to predict and diagnose the occurrence …

The book focuses on forecasting foreign exchange rates via artificial neural networks. It
creates and applies the highly useful computational techniques of Artificial Neural Networks …

The accuracies of three different evolutionary artificial neural network (ANN) approaches,
ANN with genetic algorithm (ANN-GA), ANN with particle swarm optimization (ANN-PSO) …

Increasing financial and political turmoil in the 1970s and 1980s coupled with oil shock
prompted Governors of the G-10 countries to engage in cooperation and financial …