查询词典 neural process

The results of prediction agree well with the experimental ones. It proves that the thermo-mechanical analysis、the neural network models of flow stress and microstructure as well as the numerical simulation system developed combining coupled thermal-mechanical rigid-viscoplastic FEM with BP neural networks are reliable to describe the hot back extrusion process of Ti15-3 alloy truly. The simulation system has good prediction capacity for the microstructure evolution of Ti-15-3 alloy during hot backward extrusion and after solution treatment. It can be used to replace the experiments for predicting the flowing laws and the distribution of microstructure.

由此证明，本文的热力耦合理论分析、流变应力及显微组织的神经网络预测模型以及采用三维热力耦合刚粘塑性有限元与三层向后传播的人工神经网络相结合的方法开发的Ti-15-3合金筒形件热反挤成形的显微组织数值模拟系统是可靠的，能够真实地描述Ti-15-3合金热反挤工艺过程，并对其反挤成形及固溶处理后的显微组织具有很好的预测能力，可以被用来代替预测其反挤成形规律和组织分布情况的试验。

In the meantime, we got several achievements during the process:Firstly, a sequence encryption algorithm of real-time video in use of one dimension piece-wise linear chaotic map is carried out. This algorithm makes use of Inter' s SSE2 special dictates and makes nonlinear change of chaotic sequences.As a result, the algorithm not only encrypts faster, but also resists several cipher analysis methods. Secondly, this paper presents a block encryption algorithm of real-time video based on chaotic neural network which makes use of numerical transient chaotic neural network to produce chaotic sequences and uses these sequences to do encryption.

同时，在实现系统的过程中，取得了以下研究成果：(1)提出了一种利用一维的分段线性混沌映射来对实时视频进行序列加密的算法，该算法利用Inter的SSE2专用指令集来实现，并对产生的混沌序列进行了有效的非线性变换，从而使该算法不仅加密速度快，并且能有效的抗多种密码分析；(2)提出了一种利用混沌神经网络对实时视频进行分组加密的算法。

Self-generating neural network is a self-organization neural network, whose network structures and parameters need not to be set by users, and its learning process needs no iteration.

自生成神经网络是一类自组织神经网络，它不需要用户指定网络结构和学习参数，而且不需要迭代学习，是一类特点突出的神经网络。

Fuzzy neural network is used in the three phase adaptive reclosure so that the reclose of permanent faults can be avoided. A multi-input fuzzy neural network is constructed and the algorithm of network is designed. Taking the virtual value of three phase voltage as the input with its scale changed, the network learning can be completed with convergence reached after the process of fuzzification, normalization and perspicuity, so it can disinguish transient faults from permanent faults.

为了避免重合闸重合于永久性故障，将模糊神经网络应用于三相自适应重合闸中，构造了一个多输入的模糊神经网络，设计了网络的算法，将三相端压有效值作为输入，经尺度变换、模糊化、归一化和清晰化，并利用梯度下降法修正误差，使得网络完成学习并最终收敛，在输入故障数据时能根据网络的输出结果准确地判别瞬时性故障与永久性故障。

Objective The process of immune response to neural stem cell allograft has not been fully understood. This study was designed to investigate the lymphocyte infiltration induced by transplantation of neural stem cells into traumatically injured brain.

目的 探讨在外伤性脑损伤的条件下，移植同种异体神经干细胞所诱发的淋巴细胞浸润现象。

To overcome the bad effect resulting from the nonlinearity time-variability and uncertainty on autopilot system performance during the motion process of aerodynamics missile, and to further improve the flight quality of missile, the autopilot system and used control method are researched. Firstly the integrant structure of system is discussed; then baaed un introducing the traditional PID method, controllers for missile attitude motion are designed respectively using fuzzy self-turning PID method and neural network self-adaptive PID method; at last a simulation experiment is finished. By comparing the simulation results that the designed controllers have good qualities is showed, and the feasibility and validity of applying fuzzy control and neural network into automatic control of aerodynamics missile is confirmed, and the base that other nonlinear control theory can be combined with the traditional control for missile to further improve the performance of missile control system is established.

为了克服飞航导弹运动过程中的非线性、时变性和不确定性对自动驾驶仪系统性能的不良影响，进一步提高导弹的飞行质量，对自动驾驶仪系统及其采用的控制方案进行了研究；首先对系统的整体结构进行了分析，然后在介绍经典PID方案的基础上，分别采用模糊自调整PID方案和神经网络自适应PID方案设计了导弹姿态运动控制器，最后进行了仿真实验；仿真结果的对比展示了所设计控制器良好的品质，验证了将模糊控制和神经网络应用于飞航导弹自动控制中的可行性和有效性，为其它非线性控制理论与导弹传统控制相结合以进一步提高导弹控制系统的性能奠定了基础。

Especially, the dynamic neural network, which containing feedback process can directly and vividly reflect the dynamic nature of systems, thus it is attractive to use neural network technology to forecast the dynamic, non-linear exchange rate.In this paper, firstly we reviews and commentates the literatures of foreign exchange rate forecast, then introduces and analyzes from three perspectives, which are the basic theory of the exchange rate forecast, the main model and technical approach.

人工神经网络技术是一种非线性系统逼近和建模的有效工具，由于其具有良好的非线性映射能力及自适应、自学习和泛化能力，特别是包含反馈过程的动态神经网络能够更直接更生动地反映系统的动态特性，因而利用神经网络技术来对动态、非线性的汇率系统进行预测别具潜力。

With the technique of wavelets analysis and neural network intelligence, aiming at numerical calculation of temperature field in casting process of camshafts, the arithmetic of wavelet neural network is described.

利用小波分析和神经网络智能技术，针对凸轮轴铸造充型凝固过程的温度场数值求解问题，提出了小波神经网络算法。

The simulation results showed that the load forecasting model based on process neural network is better than on BP neural network.

结果表明，所建立的预测模型对负荷的预测准确率高，优于BP神经网络负荷预测模型的预测结果。

C language of BP neural networks, on the understanding and the establishment of neural networks to help the process.

详细说明： C语言编写的BP神经网络，对了解和建立神经网络的过程有帮助。

But we don't care about Battlegrounds.

但我们并不在乎沙场中的显露。

Ah! don't mention it, the butcher's shop is a horror.

啊！不用提了。提到肉，真是糟透了。