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Introduction to The Matlab Neural Network Toolbox (NNT)
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This brief report describes the Applied Meteorology Unit’s development and
actuation of an artificial neural network for predicting cloud cover at the Shuttle
nding Facility (SLF). This first section describes the motivation for the project and
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An Introduction to Neural Network Using Matlab
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An Artificial Neural Network is a network of many very simple processors ("units"), each possibly having a (small amount of) local memory. The units are connected by unidirectional communication channels ("connections"), which carry numeric (as oppos
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利用新陈代谢灰色预测、样本自适应BP 神经网络和时间序列分析分别进行风电功率实时预测和日前预测，并采用熵值取权法确定组合权重，引入自控机制，构建反馈，提出组合预测法和基于时间序列的卡尔曼滤波法。研究结果表明，组合预测模型能减少各预测点较大误差的出现，而卡尔曼滤波能大幅消减原始序列的波动影响。-Use of metabolic gray forecast, sample adaptive BP neural network and time sequence analysis respective
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Introduction to the Matlab
Neural Network Toolbox 3.0
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SOM自组织特征映射神经网络原理讲解。写的很细致，适合初学者参考学习使用。-SOM self-organizing feature map neural network theory to explain. Write very detailed, suitable for beginners learning to use.
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人工神经网络的导论，入门级书籍，主要偏重基础的算法-Introduction to Artificial Neural Networks, entry-level books, the main emphasis based algorithms
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Even since the introduction of backpropagation in 1986,
neural networks have gained considerable attention from
researchers for more than two decades now. A variety of
neural network models have been designed and applied
successfully to solve
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