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Guidelines for Financial Forecasting with Neural Networks

机译:与神经网络的财务预测指南

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Neural networks are good at classification, forecasting and recognition. They are also good candidates of financial forecasting tools. Forecasting is often used in the decision making process. Neural network training is an art. Trading based on neural network outputs, or trading strategy is also an art. We will discuss a seven-step neural network forecasting model building approach in this article. Pre and post data processing/analysis skills, data sampling, training criteria and model recommendation will also be covered in this article.
机译:神经网络擅长分类,预测和识别。他们也是财务预测工具的良好候选工具。预测通常用于决策过程中。神经网络培训是艺术。基于神经网络输出的交易,或交易策略也是艺术品。我们将讨论本文中的七步神经网络预测模型建筑方法。本文还将介绍预先和后期数据处理/分析技能,数据采样,培训标准和模型推荐。

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