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Neural Network in Finance (神经网络在金融界:赢得预言性的优势)全部原码。内容包括预测与估计，对时间数列的分析，利用神经网络进行降维和分级等很多例子。-Neural Network in Finance (neural networks in the financial sector : won prophetic edge) all the original code. Including forecasts and estimates, the time serie
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一种简单有效的基于动态时变语音识别源码
对于大多数研究者来说,寻找能够匹配二重时间序列信号的最佳途径是很重要的,因为它有许多重要的应用需求.DTW是实现这项工作的显著技术,尤其在语音识别技术领域,在这里一个测试信号被按照参照模板拉伸或压缩,
,Searching for the best path that matches two time-series signals is the main task for many researchers, because of its importa
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BP neural network for time series analysis predicted that by entering the corresponding time-series data to predict the future, suitable for beginners on the BP neural network learning
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在用混沌理论和神经网络进行短期负荷预测时，神经网络的输入的选择至关重要，该程序用matlabl实现了基于混沌时间序列的嵌入维数的选择-In chaos theory and neural networks with short-term load forecasting, neural network is essential to choose the input, the program implemented with matlabl chaotic time series based o
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神经网络对时间序列的观测时序进行预测，预测精度高，可以在工程上应用-Neural network to predict the timing of time-series observations, the prediction accuracy is high, can be applied in engineering
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BP神经网络实现人口预测，时间序列预测，值得一看，学习-BP neural network population forecasts, time series forecasting, see, learn
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Mackey-Glass时间序列预测建模问题，建立了四输入一输出、具有3层结构的MLP人工神经网络，实现了函数逼近的功能。-Mackey-Glass time series prediction modeling, the establishment of a four-input one output, with a 3-layer MLP artificial neural network architecture to achieve a function approximation fu
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Wavelet neural network time series prediction of short-term traffic flow forecasting
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SVM neural network information granulation time series regression forecast
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本书通过案例讲述时间序列分析有关的概念和方法, 不仅介绍了ARMA模型、状态空间模型、Kalman滤波、单位根检验和GRACH模型等一元时间序列方法, 还介绍了很多最新的多元时间序列方法, 如线性协整、门限协整、VAR模型、Granger因果检验、神经网络模型、可加AR模型和谱估计等. 书中强调对真实的时间序列数据进行分析, 全程使用R软件分析了各个科学领域的实际数据, 还分析了金融和经济数据的例子. 本书例题用到的实际数据都可以从网上下载.-Book time series analysis
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双隐层BP神经网络实现，功能为时间序列的预测。-Double hidden layer BP neural network, the function of time series prediction.
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