GENETIC OPTIMIZATION OF ENSEMBLE NEURAL NETWORKS FOR COMPLEX TIME SERIES PREDICTION OF THE MEXICAN EXCHANGE

MARTHA PULIDO; OSCAR CASTILLO; PATRICIA MELIN

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GENETIC OPTIMIZATION OF ENSEMBLE NEURAL NETWORKS FOR COMPLEX TIME SERIES PREDICTION OF THE MEXICAN EXCHANGE

机译：复杂时间序列预测墨西哥交易所的神经网络遗传优化。

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This paper describes an optimization method based on genetic algorithms for ensemble neural networks with fuzzy aggregation to forecast complex time series. The time series that was considered in this paper, to compare the hybrid approach with traditional methods, is the Mexican Stock Exchange, and the results shown are for the optimization of the structure of the ensemble neural network with type-1 and type-2 fuzzy logic integration. Simulation results show that the optimized ensemble approach produces good prediction of the Mexican Stock Exchange.

机译：本文介绍了一种基于遗传算法的集成神经网络的模糊聚集优化方法，以预测复杂的时间序列。本文考虑的用于将混合方法与传统方法进行比较的时间序列是墨西哥证券交易所，显示的结果是用于优化具有类型1和类型2模糊的集成神经网络的结构的逻辑集成。仿真结果表明，优化的集成方法可以很好地预测墨西哥证券交易所。

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来源
《International Journal of Innovative Computing Information and Control》 |2013年第10期|4151-4166|共16页
作者
MARTHA PULIDO; OSCAR CASTILLO; PATRICIA MELIN;
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作者单位

Division of Research and Graduate Studies Tijuana Institute of Technology Tijuana, Baja California, Mexico;

Division of Research and Graduate Studies Tijuana Institute of Technology Tijuana, Baja California, Mexico;

Division of Research and Graduate Studies Tijuana Institute of Technology Tijuana, Baja California, Mexico;

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正文语种 eng
中图分类
关键词
Ensemble neural network; Genetic algorithm; Optimization; Time series prediction;

机译：集成神经网络遗传算法优化;时间序列预测;

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专利

1. Particle swarm optimization of ensemble neural networks with fuzzy aggregation for time series prediction of the Mexican Stock Exchange [J] . Martha Pulido, Patricia Melin, Oscar Castillo Information Sciences: An International Journal . 2014,第Null期

机译：集成模糊神经网络的粒子群优化算法在墨西哥证券交易所时间序列预测中的应用
2. OPTIMIZATION OF ENSEMBLE NEURAL NETWORKS WITH TYPE-2 FUZZY INTEGRATION OF RESPONSES FOR THE DOW JONES TIME SERIES PREDICTION [J] . Patricia Melin, Martha Puledo Intelligent automation and soft computing . 2014,第3期

机译：陶氏琼斯时间序列预测的带2型模糊积分的可集成神经网络优化
3. Ensemble neural networks with fuzzy logic integration for complex time series prediction [J] . Martha Pulido, Alejandra Mancilla, Patricia Melin International journal of intelligent engineering informatics . 2010,第1期

机译：具有模糊逻辑集成的集成神经网络，用于复杂的时间序列预测
4. Genetic optimization of ensemble neural networks for complex time series prediction [C] . Pulido M., Melin P., Castillo O. The 2011 International Joint Conference on Neural Networks . 2011

机译：集成神经网络的复杂时间序列预测遗传优化
5. A study of neural networks and multiple neural networks in making short-term and long-term time-series prediction of petroleum production and gas consumption. [D] . Nguyen, Hanh Hong. 2003

机译：对神经网络和多重神经网络进行石油产量和天然气消耗的短期和长期时间序列预测的研究。
6. Multiple Ensemble Neural Network Models with Fuzzy Response Aggregation for Predicting COVID-19 Time Series: The Case of Mexico [O] . Patricia Melin, Julio Cesar Monica, Daniela Sanchez, 2020

机译：具有模糊响应聚合的多集成神经网络模型用于预测COVID-19时间序列：墨西哥的情况
7. Multiple Ensemble Neural Network Models with Fuzzy Response Aggregation for Predicting COVID-19 Time Series: The Case of Mexico [O] . Patricia Melin, Julio Cesar Monica, Daniela Sanchez, 2020

机译：具有模糊响应聚集的多集合神经网络模型，用于预测Covid-19次序列：墨西哥的情况

GENETIC OPTIMIZATION OF ENSEMBLE NEURAL NETWORKS FOR COMPLEX TIME SERIES PREDICTION OF THE MEXICAN EXCHANGE

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