由于制冷压缩机热力计算神经网络方法存在不足, 所以在充分考虑传统制冷压缩机热力计算模型
的物理特征后, 提出改进的神经网络方法. 新方法中的多层前向神经网络输入参数少 …

For winning in global competition, companies need to recognition and monitoring of
customer's behavior to forecast their behavior and desires earlier than competitors. This …

A feedforward neural network tuning algorithm is developed, which is suitable for
identification of multi-input multi-output nonlinear functions, by utilising the learning method …

Reducing the occurrence of gear failures and extending their service life is a vital issue in
industrial production. To solve the problem that the method of gear fault detection with …

The ability of predicting the project escalation at the early state of the project is a critical point
for Information Technology (IT) projects. Undoubtedly, it is excellent for a project manager to …

Different artificial neural networks architectures were developed to predict the density,
viscosity and refractive index of binary and ternary mixtures of ionic liquids using their …

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Neural Network Algorithm for Solving System of Linear Equations Page 1 Neural Network
Algorithm for Solving System of Linear Equations Zhigang ZHOU ba, a Institute for Pattern …

Future demographic projections have indicated that the low fertility rate problem will put
significant pressures on the long-term sustainability of public finance. Nevertheless, among …

For the data classification task back propagation (BP) is the most common used model to
trained artificial neural network (ANN). Various parameters were used to enhance the …