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基于神经网络的数字字符识别
- 基于BP神经网络的字符识别系统~用MATLAB编写`包括论文~以及代码~适合于毕业设计-BP neural network-based character recognition system using MATLAB ~ `~ including papers and code ~ suitable for graduate design 字符识别是模式识别领域的一项传统的课题，这是因为字符识别不是一个孤立的问题，而是模式识别领域中大多数课题都会遇到的基本问题，并且在不同的课题中，由于具体的
可信网络连接关键技术研究与实现
- With the accelerate implementation of information and the rapid development of e-commerce and e-government, the network security is of great significance. Now people are more concerned about how to ensure working at a trusted network environment. In
神经网络极速学习方法研究
- 单隐藏层前馈神经网络(Single-hidden Layer Feedforward Neural Network, SLFN)已经在模式识别、自动控制及数据挖掘等领域取得了广泛的应用，但传统学习方法的速度远远不能满足实际的需要，成为制约其发展的主要瓶颈。产生这种情况的两个主要原因是：（1）传统的误差反向传播方法(back propagation，BP)主要基于梯度下降的思想，需要多次迭代；（2）网络的所有参数都需要在训练过程中迭代确定。因此算法的计算量和搜索空间很大。针对以上问题，借鉴ELM的
Lung cancer risk prediction method
- This paper introduce a lung cancer risk prediction method using BP neural network algorithm
SUMMARY OF ROUTING PROTOCOL IN MOBILE AD HOC NETWORKS
- This summary is based on the work of February, which is focused on reading papers about Ad hoc network and getting familiar with the domain before the research of the Master Subject “Multi-path Routing Protocol for Mobile Ad Hoc Network”. Mobile Ad h
Dynamical behavior and application in Josephson Junction coupled by memristor
- With the burst of a Wanna decryptor [1] in the middle of 2017, secure communication within a network [2] has again triggered the considerable attention. Meanwhile, many feasible methods have been proposed to enhance the data security and it is also
Numerical Prediction of Conjugate Heat Transfer in Fluid Network
- Numerical Prediction of Conjugate Heat Transfer in Fluid Network