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A Study On Financial Time Series Forecasting And Symbolic Regression By Means Of A Hybrid Probabilistic Model-Building Cartesian Genetic Programming Methodology

机译：一种杂交概率模型建设笛卡尔遗传规划方法研究金融时间序列预测和象征性回归研究

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Mahsa Mostowfi;
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1. Balanced Cartesian Genetic Programming via migration and opposition-based learning: application to symbolic regression [J] . Yazdani Samaneh, Shanbehzadeh Jamshid Genetic programming and evolvable machines . 2015,第2期

机译：通过迁移和基于对立的学习实现均衡的笛卡尔遗传规划：在符号回归中的应用
2. A hybrid model for financial time-series forecasting based on mixed methodologies [J] . Luo Zhidan, Guo Wei, Liu Qingfu, Expert Systems . 2021,第2期

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3. Forecasting time series using a methodology based on autoregressiveintegrated moving average and genetic programming [J] . Yi-Shian Lee, Lee-Ing Tong Knowledge-Based Systems . 2011,第1期

机译：使用基于自回归积分移动平均线和遗传规划的方法预测时间序列
4. Cartesian Genetic Programming with Module Mutation for Symbolic Regression [C] . Jun-Ichi Kushida, Akira Hara, Tetsuyuki Takahama International Conference on Systems, Man, and Cybernetics . 2018

机译：带有符号突变的模块变异的笛卡尔遗传规划
5. APPLICATION OF SPECTRAL ANALYSIS TO THE CYCLE REGRESSION ALGORITHM (TIME SERIES, FORECASTING, NON-LINEAR REGRESSION) [D] . SHAH, VIVEK P. 1984

机译：谱分析在循环回归算法中的应用（时间序列，预测，非线性回归）
6. Application of Empirical Mode Decomposition with Local Linear Quantile Regression in Financial Time Series Forecasting [O] . Abobaker M. Jaber, Mohd Tahir Ismail, Alsaidi M. Altaher -1

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7. A Hybrid Particle Swarm Optimization and Support Vector Regression Model for Financial Time Series Forecasting [O] . Horng-I Hsieh, Tian-Shyug Lee, Tsung-Pei Lee 2011

机译：金融时间序列预测的混合粒子群优化与支持向量回归模型

A Study On Financial Time Series Forecasting And Symbolic Regression By Means Of A Hybrid Probabilistic Model-Building Cartesian Genetic Programming Methodology

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