Description: 该程序用遗传算法对人工神经网络进行优化，预测sars的变化趋势-the process of using genetic algorithms for artificial neural network optimization, forecasting the trend EX/108 Platform: |
Size: 49152 |
Author:凯斯 |
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Description: 基于遗传算法的BP神经网络气象预报建模,20世纪90年代以来，国内外在大气学科中开展了很多有关神经网络预报建模和气候分析等应用研究。然而随着神经网络方法在大气科学领域研究的不断深入，研究人员发现神经网络方法在实际业务天气预报应用中存在一个重要的问题-BP neural network modeling of weather forecasting, in the 20th century since the 1990s, domestic and international disciplines in the atmosphere among many of the neural network forecasting and climate modeling analysis applied research. However, with the neural network method atmospheric science research in the field continued to deepen, the researchers found neural network method in practical business applications exist forecast an important issue Platform: |
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Author:zhxj |
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Description: 本文分析小波神经网络的特点重点研究在电力负荷预测中连续小波神经网络与BP神经网络相比具有的优缺点对认识和应用小波神经网络具有重要意义算例表明在网络结构相同的情况下连续小波神经网络比BP神经网络具有更高的预测精度-wavelet analysis of this neural network research focused on the characteristics of the power load forecasting continuous wavelet neural network and BP Neural networks have their advantages and disadvantages compared to the understanding and application of wavelet neural networks is of great significance example shows the network structure with the continuous wavelet neural network than BP neural network has a higher accuracy of prediction Platform: |
Size: 55296 |
Author:bluebowl |
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Description: 用matlab编写的基于自生成神经网络(self-generated neural network)的预测方法(包含数据集)-prepared using Matlab based on the self-generating neural network (self-generated ne ural network) forecasting methods (including data sets) Platform: |
Size: 28672 |
Author:邱大山 |
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Description: 自己做的小波与神经网络组合方法实现负荷预测程序，与大家交流-Themselves to do the wavelet and neural network combination method to achieve load forecasting procedures, with the U.S. exchange Platform: |
Size: 1820672 |
Author:yeajia |
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Description: 这是有关于人工神经网络的应用主要是应用到股票价格的分析与预测-This is on the application of artificial neural network is applied to the stock price analysis and prediction Platform: |
Size: 781312 |
Author:tangchao |
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Description: 采用小波神经网络进行电力负荷预测,其中wnne为主程序,其他为调用的函数-The use of wavelet neural network for electric load forecasting, which mainly wnne procedures, other function calls Platform: |
Size: 4096 |
Author:费小东 |
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Description: 使用C++的基于神经网络（BP）算法的股票预测程序-The use of C++ s Based on neural network (BP) algorithm stock forecasting process Platform: |
Size: 94208 |
Author:ycs |
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Description: 基于Elman神经网络的预测程序，可用于电力系统短期负荷预测 -Elman neural network-based forecasting process, can be used for short-term load forecasting of power system Platform: |
Size: 1024 |
Author:liu |
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Description: 可用于电力系统短期负荷预测的RBF神经网络程序-Power system can be used for short-term load forecasting procedures of the RBF neural network Platform: |
Size: 1024 |
Author:liu |
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Description: 运用人工神经网络技术预测风速，主要介绍了神经网络的实现方法，以及预测结果的比较-The use of artificial neural network technology forecasting wind speed, mainly the realization of a neural network method and the comparison of predicted results Platform: |
Size: 189440 |
Author:沈燕 |
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Description: Short, medium and long term load forecasting model and virtual load
forecaster based on radial basis function neural networks
Changhao Xia a,b,*, Jian Wang b,*, Karen McMenemyc
a College of Electrical Engineering and Information Technology, China Three Gorges University, Yichang Hubei 443002, China
b School of Mechanical and Aerospace Engineering, Queen’s University, Belfast, Northern Ireland BT9 5AH, UK
c School of Electronics, Electrical Engineering and Computer Science, Queen’s University, Belfast, Northern Ireland BT9 5AH, UK
a r t i c l e i n f o
Article history:
Received 26 March 2008
Received in revised form 30 September
2009
Accepted 28 January 2010
Available online xxxx
Keywords:
Electric load forecasting
Radial basis function
Neural network
Virtual instrument
a b Platform: |
Size: 309248 |
Author:ali |
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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: Elman神经网络在电力负荷预测模型研究中的应用-Elman neural network for electric load forecasting model for the Study of Platform: |
Size: 2048 |
Author:田震 |
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Description: 该算法完整地描述了小波神经网络对交通流预测的过程-The algorithm is a complete description of wavelet neural network in forecasting of traffic flow process Platform: |
Size: 1024 |
Author:郭伟峰 |
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Search - forecasting neural network