In this work, the use of Markov-switching GARCH (MS-GARCH) models is tested in an active
trading algorithm for corn and soybean future markets. By assuming that a given investor …

Computational intelligence is defined as the study of the design of intelligent agents. Since
its relation to other branches of computer science is not well-defined, computational …

We present a project‐based learning experience in the context of linear algebra developed
for the recently launched double major in business administration and management …

This chapter deals with computational intelligence (CI or soft computing), which refers to
recreating human-like intelligence in a computing machine. It consists of a set of computing …

Cloud computing, bright venture of today and tomorrow, is rising based on the idea of the
use of online information, software and hardware. Cloud computing provides users three …

A framework (hereby named GA-SVM) for time series forecasting was formed by integration
of the particular power of Genetic Algorithms (GAs) with the modeling power of the Support …

Research on stock company comprehensive assessment has always been an important
focus for economists and computer experts. In this paper, the financial indexes reflecting the …

Output-input feedback (OIF) Elman neural network is a dynamic feedback network. An
improved model is proposed based on the OIF Elman neural network by introducing …

Este trabalho descreve a concepção e a construção de um arcabouço computacional para
estudo do setor bancário através de modelos baseados em agentes. A estrutura do …

In recent years, there has been a growing interest in the need for designing intelligent
systems to address complex decision systems. One of the most challenging issues for the …