Description: 用混沌理论和广义回归神经网络进行短期负荷的预测，取得了满意的效果-with Chaos Theory and the general regression neural network for short-term load forecasts, achieved satisfactory results Platform: |
Size: 129446 |
Author:sunyan |
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Description: 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-using chaos theory and neural networks for short-term load forecasts, the neural network is essential to choose an input, The procedure used matlabl achieved a chaotic time series based on the embedding dimension of choice Platform: |
Size: 1227 |
Author:sunyan |
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Description: 这是一个混沌理论中重要的细胞神经网络的程序。通过曲线很容易看到奇妙的超混沌吸引子-Chaos Theory important cellular neural network procedures. Curve it is easy to see the mysterious super-chaotic attractor Platform: |
Size: 845 |
Author:liuwei |
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Description: 用混沌理论和广义回归神经网络进行短期负荷的预测，取得了满意的效果-with Chaos Theory and the general regression neural network for short-term load forecasts, achieved satisfactory results Platform: |
Size: 129024 |
Author:sunyan |
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Description: 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-using chaos theory and neural networks for short-term load forecasts, the neural network is essential to choose an input, The procedure used matlabl achieved a chaotic time series based on the embedding dimension of choice Platform: |
Size: 1024 |
Author:sunyan |
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Description: 这是一个混沌理论中重要的细胞神经网络的程序。通过曲线很容易看到奇妙的超混沌吸引子-Chaos Theory important cellular neural network procedures. Curve it is easy to see the mysterious super-chaotic attractor Platform: |
Size: 1024 |
Author:liuwei |
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Description: BP神经网络股票建模,随着股票市场混沌和分形理论的逐步确立，人们开始利用神经网络对证券市场的变动加以预测。本文的研究目的在于为股市提供一种基于BP神经网络的股价预测方法，以便提高股价预测时的运算速度和精确度，为股票市场的个人投资者和机构投资者提供新的实用方法。-BP neural network modeling of stock, with the stock market chaos and fractal theory established step by step, people began to make use of neural networks to forecast changes in the securities market. This study aimed at the stock market to provide a neural network based on BP s share price forecasting methods, in order to improve the stock price forecasts computational speed and accuracy for the stock market by individual investors and institutional investors to provide a new practical method. Platform: |
Size: 13312 |
Author:wangjin |
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Description: 利用RBF神经网络实现混沌预测，并结合matlab进行仿真，较好实现其功能-Realize the use of RBF neural network prediction of chaos, combined with matlab simulation, better realize its function Platform: |
Size: 1024 |
Author:刘团结 |
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Description: 脑电信号是脑神经细胞电生理活动在大脑皮层或头皮表面的总体反映 ,脑电信号的研究
一直是生物医学领域难度很大且倍受人们关注的课题。在简要回顾了脑电研究的历史和现状的基础上 ,重点论述了混沌分析法、人工神经网络(ANN)分析法、小波变换法、Wigner 分布等在脑电信号分析和处理中的应用情况。最后展望了脑电信号研究的发展应用前景。-EEG is a brain cell electrophysiological activity in the cerebral cortex or the scalp surface, the overall reflection of the study EEG bio-medical field has always been a very difficult and oft-topic of concern. After a brief review of the history and current status of EEG research, based on the analysis focuses on the chaos, artificial neural network (ANN) analysis, wavelet transform, Wigner distribution in the brain signal analysis and processing of the application. Finally, the future research and development of EEG application. Platform: |
Size: 101376 |
Author:还都 |
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Description: 本程序是在用混沌理论和神经网络时，神经网络的输入的选择至关重要，该程序用小波理论进行了去噪-This procedure is to use chaos theory and neural networks, neural network is essential to choose the input, the program was de-noising using wavelet theory Platform: |
Size: 80896 |
Author:lst |
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Description: 用此程序可以实现小波变换，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-This process can be achieved with wavelet transform, chaos theory and neural networks with short-term load forecasting, neural network is essential to choose the input Platform: |
Size: 4096 |
Author:牛逼 |
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Description: 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 on the number of choices of embedding dimension Platform: |
Size: 6144 |
Author:牛逼 |
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Description: 文章展示了一种新的方法用于功率系统中短期负载预测。提出的方案使用混沌时间序列分析基于确定性混沌去捕捉复杂的负载行为特征。确定性的混沌允许我们重构一个时间序列并决定输入的变量个数。这篇文章描述了混沌时间序列对日间功率系统峰值的分析。确定性混沌的非线性图形通过多层感知器的神经网络得到。提出的方案在一个例子中具体阐述。-This paper presents a new approach to short-term load forecasting in power systems. The proposed method makes use of chaos time series analysis that is based on deterministic chaos to capture characteristics of complicated load behavior. Deterministic chaos allows us to reconstruct a time series and determine the number of input variables. This paper describes chaos time series analysis of daily power system peak loads. The nonlinear
mapping of deterministic chaos is identified by the multilayer perceptron of an artificial neural network. The proposed approach is demonstrated in an example. Platform: |
Size: 382976 |
Author:will |
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Description: 《非经典智能数学方法》一部适合研究生学习的非经典数学课程，介绍了如模糊数学、神经网络数学、遗传算法、pctri网理论、混沌理论、小波分析、非经典逻辑等内容。-" Non-classical smart mathematical method" for graduate study in a non-classical mathematics curriculum is introduced, such as mathematics, mathematical neural network, genetic algorithm, pctri network theory, chaos theory, wavelet analysis, non-classical logic and so on. Platform: |
Size: 4587520 |
Author:xiny |
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Description: The commonly used digital signal modulation based on artificial neural network, PV modules contain, MPPT module, BOOST module, inverter module, Chaos indicator for Lyapunov index calculation. Platform: |
Size: 5120 |
Author:bdpaj
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