This study investigates the effectiveness of a hybrid approach based on the artificial neural
networks (ANNs) for time series properties, such as the adaptive time delay neural networks …

Stock markets are very important in modern societies and their behaviour have serious
implications in a wide spectrum of the world's population. Investors, governing bodies and …

A multi-objective optimization methodology for the aging process parameters is proposed
which simultaneously considers the mechanical performance and the electrical conductivity …

使用单一模型实现复杂时间序列预测一直是一个研究热点和难点问题. 本文采用经验模式分解
方法首先将复杂时间序列分解为一系列本征模式函数之和, 然后对各个本征模式进行径向基神经 …

Artificial neural networks (ANNs) are promising approaches for financial time series
prediction and have been widely applied to handle finance problems because of its …

In this paper, a novel application of the backpropagation network using a self-organised
layer inspired by immune algorithm is used for the prediction of financial time series. The …

오차패턴 델은 입력 데이터 패턴에 대한 오류여부를 기초로 메타 분류기를 생성하고 이를
기초로 하여 단위 데이터마이닝 분류 델들을 결합적으로 사 하기 위한 방안이다 기존의 …