查询词典 neural network

A hybrid model of short-term load forecasting based on chaotic theory, correlation and neural networks is presented in this paper. Firstly, reconstruct attractors in phase spaces using chaotic theory, Secondly fit the attractor's evolvement using BP neural networks, because selecting neural network's input training data using Euclid distance and correlation, improve neural network's associative memory and ratiocinative ability, can better fit the attractor's evolvement.

提出一种将混沌理论、关联度和神经网络相结合的短期负荷预测模型，首先利用混沌理论重构负荷时间序列的相空间吸引子，然后用BP 神经网络来拟合空间吸引子的演化，由于使用空间欧氏距离和关联度联合来选取神经网络的训练样本，这样就提高了神经网络对负荷序列混沌特性的联想和泛化推理能力，能够更好的拟合吸引子的演化。

Neuroectoderm; neural crest; neural plate; neural tube; neuraxis; neuroblasts; neural stem cells; neuroprogenitor cells; stem cells; differentiation; ontogeny; morphogenesis; histogenesis; organogenesis; synaptogenesis; gangliogenesis; embryogenesis; axonogenesis; retinogenesis; gliogenesis; glial progenitor cells; oligodendrocyte progenitor cells; retinal progenitor cells; nerve growth factor; neurotrophic factors; trophic factors; growth factors; neural tube defects; anencephaly; spina bifida; neuroblastoma cells; cell migration; neurogenesis; development; developmental stages

神经外胚层；神经脊；神经板；神经管；轴索；成神经细胞；神经干细胞；neuroprogenitor细胞；干细胞；分化；个体发生；形态发生；组织发生；器官发生；突触发生；神经节发生；胚胎发生；轴突发生；视网膜发生；神经胶质发生；神经胶质祖细胞；少突神经胶质细胞祖细胞；视网膜祖细胞；神经生长因子；神经营养因子；营养因子；生长因素；神经管缺陷；无脑；脊柱裂；成神经细胞瘤细胞；细胞迁移；神经发生；发展；发育阶段

Neuroectoderm; neural crest; neural plate; floor plate; neural tube; neuraxis; neuroblasts; neural stem cells; neuroprogenitor cells; stem cells; differentiation; ontogeny; morphogenesis; histogenesis; organogenesis; synaptogenesis; gangliogenesis; embryogenesis; axonogenesis; retinogenesis; gliogenesis; glial progenitor cells; oligodendrocyte progenitor cells; retinal progenitor cells; nerve growth factor; neurotrophic factors; trophic factors; growth factors; neural tube defects; anencephaly; spina bifida; cell migration; neurogenesis; development; developmental stages

神经外胚层；神经脊；神经板；底板；神经管；轴索；成神经细胞；神经干细胞；神经母细胞；干细胞；分化；个体发生；形态发生；组织发生；器官发生；突触发生；神经节发生；胚胎发生；轴突发生；视网膜发生；神经胶质发生；神经胶质祖细胞；少突神经胶质细胞祖细胞；视网膜祖细胞；神经生长因子；神经营养因子；营养因子；生长因素；神经管缺陷；无脑；脊柱裂；细胞迁移；神经发生；发展；发育阶段

Neuroectoderm; neural crest; neural plate; floor plate; neural tube; neuraxis; neurulation; neuroblasts; neural stem cells; neuroprogenitor cells; stem cells; differentiation; ontogeny; morphogenesis; histogenesis; organogenesis; synaptogenesis; gangliogenesis; embryogenesis; axonogenesis; retinogenesis; gliogenesis; glial progenitor cells; oligodendrocyte progenitor cells; retinal progenitor cells; nerve growth factor; neurotrophic factors; trophic factors; growth factors; neural tube defects; anencephaly; spina bifida; neuroblastoma cells; neurogenesis; development; developmental stages

神经外胚层；神经脊；神经板；底板；神经管；轴索；神经胚形成；成神经细胞；神经干细胞；神经母细胞；干细胞；分化；个体发生；形态发生；组织发生；器官发生；突触发生；gangliogenesis；胚胎发生；axonogenesis；retinogenesis；gliogenesis；神经胶质祖细胞；少突神经胶质细胞祖细胞；视网膜祖细胞；神经生长因子；神经营养因子；营养因子；生长因素；神经管故障；无脑；脊柱裂；成神经细胞瘤细胞；神经发生；发展；发展进程

Neural crest; neural plate; floor plate; neural tube; neuraxis; neuroblasts; neural stem cells; neuroprogenitor cells; stem cells; differentiation; ontogeny; morphogenesis; histogenesis; organogenesis; synaptogenesis; gangliogenesis; embryogenesis; axonogenesis; retinogenesis; gliogenesis; glial progenitor cells; oligodendrocyte progenitor cells; retinal progenitor cells; nerve growth factor; neurotrophic factors; trophic factors; growth factors; neural tube defects; anencephaly; spina bifida; neuroblastoma cells; cell migration; neurogenesis; development; developmental stages

神经脊；神经板；底板神经管；轴索；成神经细胞；神经干细胞；神经母细胞；干细胞；分化；个体发生；形态发生；组织发生；器官发生；突触发生；神经节发生；胚胎发生；轴突发生；视网膜发生；神经胶质发生；神经胶质祖细胞；少突神经胶质细胞祖细胞；视网膜祖细胞；神经生长因子；神经营养因子；营养因子；生长因素；神经管缺陷；无脑；脊柱裂；成神经细胞瘤细胞；细胞迁移；神经发生；发展；发育阶段

Neuroectoderm; neural crest; neural plate; floor plate; neural tube; neuraxis; neurulation; neuroblasts; neural stem cells; neuroprogenitor cells; stem cells; differentiation; ontogeny; morphogenesis; histogenesis; organogenesis; synaptogenesis; gangliogenesis; embryogenesis; axonogenesis; retinogenesis; gliogenesis; glial progenitor cells; oligodendrocyte progenitor cells; retinal progenitor cells; nerve growth factor; neurotrophic factors; trophic factors; growth factors; neural tube defects; anencephaly; spina bifida; neuroblastoma cells; neurogenesis; development; developmental stages

神经外胚层；神经脊；神经板；底板；神经管；轴索；神经胚形成；成神经细胞；神经干细胞；神经母细胞；干细胞；分化；个体发生；形态发生；组织发生；器官发生；突触发生；神经节发生；胚胎发生；轴突发生；视网膜发生；神经胶质发生；神经胶质祖细胞；少突神经胶质细胞祖细胞；视网膜祖细胞；神经生长因子；神经营养因子；营养因子；生长因素；神经管缺陷；无脑；脊柱裂；成神经细胞瘤细胞；神经发生；发展；发育阶段

Though can not accurate induce neural stem cells specific orientation differentiation yet,to accompany the unceasing deepen recognize of convection mechanisms in cells' signal convection and discovery of new cell facter,new chemo-signal, Homo sapiens would solve the question of orientation differentiation from totipotential stem cell,multipotential stem cell to neural stem cell, orientation nerver ancestor cell then special tipe neural cell, implementation functional reconstruction betwen neural cell,for ultimate solve the proble of neural regeneration developing the way.

尽管目前尚不能准确有效的诱导神经干细胞特异性定向分化为某种特定的神经元，但随着人们对细胞间信号传递机制认识的不断加深和新的细胞因子、化学信号的不断发现，人类将能够解决从全能干细胞、多能干细胞到神经干细胞、定向神经祖细胞直至特异类型神经细胞的定向分化，完成神经元之间的功能重建，为最终解决中枢神经再生这一难题而开辟道路。

the study aims at the actual network status of one work section in daqing oil field,makes a network analysis and planning for the new mixed model of this work section,expends wireless network for the work section on the basis of existing network,and conjoins wire and wireless network together to form an integrated oil field information transfer system.at the same time,using opnet modeler simulation flat roof to structure simulation models (network models,node models and a process model),and analyzing the functions and work mechanism of the major modules for related models,making a simulation for the structured network models,then according to the different parameters,analyzing the individual statistics comparatively such as delay,data dropped and so on,the effects of data packet,data rate and fragmentation threshold to the network performance are gained.after all these,the best structure network scheme for this improved section is determined.

摘 要：此项研究主要针对大庆油田某作业区的实际网络现状，对该作业区进行网络分析和规划，在该作业区现有的有线网络基础上扩充无线网络，实现有线网与无线网的综合，构成一个完整的油田传输信息体系。同时利用opnet modeler仿真平台为该作业区新建混合网络建立仿真模型(网络模型、节点模型和进程模型)，分析相关模型中主要模块的作用和工作机理，对已建立的网络模型进行仿真，在不同的参数设置下，通过对比分析时间延迟、丢包率等统计特性，得出数据包分组、数据率和拆分门限对网络性能的影响，最终决定改进网络的最佳组网方案。

The feasibility of neural network application to asphalt concrete pavement performance forecast is set forth. Three main environmental factors-traffic, rainfall, temperature, which can lead to the direct change of pavement performance are used as the input layer of neural network. The performance indexes of asphaltum concrete pavement, i.e. dilapidation rate, smoothness, deflection, friction coefficient are used as output layer. The relation between environment factor and pavement performance is acquired by introducing the module of BP Neural Network in MATLAB.

阐述了应用BP神经网络进行沥青混凝土路面使用性能预测的可行性，以环境因素，即交通量、降雨量、温度等3个直接使路面性能发生变化的主要因素作为BP神经网络的输入层，以沥青混凝土路面的破损率、平整度、弯沉值、摩擦系数等4项性能指标作为输出层，采用MATLAB语言中的BP神经网络模块进行自学习，得出环境因素与路面使用性能之间的关系。

The micro vehicle rear axle of car main gear box noise question became the worker matter of concern. In this paper, the micro vehicle rear axle of car main gear box noise performance present situation and the traditional assessment method are discussed, and the general BP neural network and the Levenberg-Marguardt algorithm are introduced in detail. Improves the BP neural network using the LM algorithm, at present is trains the neural network the quickest algorithm.

微车后桥主减速器噪声问题成为工作者所关注的问题，本文介绍了后桥主减速器噪声性能现状及传统评价方法，阐述了BP神经网络的一般算法，并详细介绍了Levenberg-Marguardt算法，利用LM算法来改进BP神经网络，目前是训练神经网络的最快算法。

The production moved off-Broadway to New York City, where she won the Joseph E. Calloway award for her performance, and was profiled in American Theater Magazine as one of ten young theater artists to watch.

生产提出过百老汇的新的纽约市，在那里她赢得了约瑟夫calloway奖，她的表现，并于异型在美国的战区杂志之一， 10战区的青年艺术家观赏。

It's a risk tradeoff, and I believe that adding test support code usually wins.

这是一个风险的权衡，我相信添加测试代码通常会占上风。