Recently, wavelet neural networks have become a popular tool for non-linear functional approximation. Wavelet neural networks, which basis functions are orthonormal scalling functions, are more suitable in approximati...Recently, wavelet neural networks have become a popular tool for non-linear functional approximation. Wavelet neural networks, which basis functions are orthonormal scalling functions, are more suitable in approximating to function. Based on it, approximating to NLAR(p) with wavelet neural networks is studied.展开更多
This paper focuses on the key technologies of P2P technology and network traffic monitoring, which focuses on AC automaton and bypass interference control technology, and on based of it, we design a new P2P traffic mo...This paper focuses on the key technologies of P2P technology and network traffic monitoring, which focuses on AC automaton and bypass interference control technology, and on based of it, we design a new P2P traffic monitoring system. The system uses DPI and DFI recognition technology, as well as straight loss and bypass interference control technology, basically meet the recognition and control of P2P traffic. Finally, the test results show that this system recognition accuracy of P2P traffic is high, good control effect, function and performance meet the design requirements.展开更多
当前,对等计算(Peer to Peer)引起了广泛的关注,其典型应用有文件共享,即时通信等等,为了更好地使用P2P资源,合理规划P2P网络资源,建立P2P流量预测模型具有十分重要的理论意义和现实价值。基于小波神经网络提出了一个P2P网络流量预测模...当前,对等计算(Peer to Peer)引起了广泛的关注,其典型应用有文件共享,即时通信等等,为了更好地使用P2P资源,合理规划P2P网络资源,建立P2P流量预测模型具有十分重要的理论意义和现实价值。基于小波神经网络提出了一个P2P网络流量预测模型,预测模型共分为输入层、隐含层、输出层,通过使用小波代替传统神经网络的Sigmoid作为神经网络的隐节点激励函数,在Matlab6.5仿真平台中实现,结果显示能够有效提高P2P网络流量预测精度。展开更多
Neural stem cells(NSCs) and imprinted genes play an important role in brain development. On historical grounds, these two determinants have been largely studied independently of each other. Recent evidence suggests, h...Neural stem cells(NSCs) and imprinted genes play an important role in brain development. On historical grounds, these two determinants have been largely studied independently of each other. Recent evidence suggests, however, that NSCs can reset select genomic imprints to prevent precocious depletion of the stem cell reservoir. Moreover, imprinted genes like the transcriptional regulator Zac1 can fine tune neuronal vs astroglial differentiation of NSCs. Zac1 binds in a sequence-specific manner to pro-neuronal and imprinted genes to confer transcriptional regulation and furthermore coregulates members of the p53-family in NSCs. At the genome scale, Zac1 is a central hub of an imprinted gene network comprising genes with animportant role for NSC quiescence, proliferation and differentiation. Overall, transcriptional, epigenomic, and genomic mechanisms seem to coordinate the functional relationships of NSCs and imprinted genes from development to maturation, and possibly aging.展开更多
文摘Recently, wavelet neural networks have become a popular tool for non-linear functional approximation. Wavelet neural networks, which basis functions are orthonormal scalling functions, are more suitable in approximating to function. Based on it, approximating to NLAR(p) with wavelet neural networks is studied.
文摘This paper focuses on the key technologies of P2P technology and network traffic monitoring, which focuses on AC automaton and bypass interference control technology, and on based of it, we design a new P2P traffic monitoring system. The system uses DPI and DFI recognition technology, as well as straight loss and bypass interference control technology, basically meet the recognition and control of P2P traffic. Finally, the test results show that this system recognition accuracy of P2P traffic is high, good control effect, function and performance meet the design requirements.
文摘当前,对等计算(Peer to Peer)引起了广泛的关注,其典型应用有文件共享,即时通信等等,为了更好地使用P2P资源,合理规划P2P网络资源,建立P2P流量预测模型具有十分重要的理论意义和现实价值。基于小波神经网络提出了一个P2P网络流量预测模型,预测模型共分为输入层、隐含层、输出层,通过使用小波代替传统神经网络的Sigmoid作为神经网络的隐节点激励函数,在Matlab6.5仿真平台中实现,结果显示能够有效提高P2P网络流量预测精度。
文摘Neural stem cells(NSCs) and imprinted genes play an important role in brain development. On historical grounds, these two determinants have been largely studied independently of each other. Recent evidence suggests, however, that NSCs can reset select genomic imprints to prevent precocious depletion of the stem cell reservoir. Moreover, imprinted genes like the transcriptional regulator Zac1 can fine tune neuronal vs astroglial differentiation of NSCs. Zac1 binds in a sequence-specific manner to pro-neuronal and imprinted genes to confer transcriptional regulation and furthermore coregulates members of the p53-family in NSCs. At the genome scale, Zac1 is a central hub of an imprinted gene network comprising genes with animportant role for NSC quiescence, proliferation and differentiation. Overall, transcriptional, epigenomic, and genomic mechanisms seem to coordinate the functional relationships of NSCs and imprinted genes from development to maturation, and possibly aging.
