In the outer layer (ectoderm) the neural tube is forming from which the baby's nervous system-brain spinal cord skin and hair-will develop.
在外胚层，神经管正在形成，在此基础上，婴儿的神经系统——大脑、脊髓、皮肤和毛发——将会形成。
In the outer layer (ectoderm) the neural tube is forming, from which the baby's nervous system-brain, spinal cord, skin and hair-will develop.
在外胚层，神经管正在形成，在此基础上，婴儿的神经系统——大脑、脊髓、皮肤和毛发——将会形成。
Then, the neural networks model is applied to identify and process input data, design suitable networks layer for the vehicle longitude dynamics system control.
利用神经网络模式识别能力对输入数据处理辨别，设计合适的控制网络层对汽车纵向动力学系统实施控制；
This setting will create a neural network model that does not contain a hidden layer, and that therefore is equivalent to logistic regression.
这样设置便可以创建不包含隐藏层的神经网络模型，从而使该神经网络模型与逻辑回归等效。
Methods The layer analysis evaluate method and BP neural network method were applied.
方法应用层次分析和BP神经网络法。
The first network is BP network with one hidden layer, and the second network is linear status Neural network based on linear system dynamic equation.
第一种神经网络是具有一个隐层的动态前向BP网络，第二种是基于线性系统动态方程的线性状态神经网络。
Deep learning refers to the method of training multi-layer artificial neural networks.
深度学习是指训练多层的人工神经网络的方法。
The application of multi-layer feed-forward artificial neural network in fault equipment diagnosis includes feature value setting of equipment operation condition and fault judgment.
多层前馈人工神经网络在装备故障诊断中的应用含设备运行状态特征值设定和故障判定。
This paper investigates the problem of the model validation in identifying discrete-time-nonlinear dynamic systems by using neural networks with a single hidden layer.
讨论了利用仅含一个隐层的前馈多层神经网络来辨识离散时间非线性动态系统时的模型检验问题。
This paper proposes a new method, which is a layer construction of Modular Fuzzy Neural Network according to the mechanism and characteristic of Aluminum Electrolysis Fault Diagnosis.
目的针对铝电解故障发生机理及特点，提出采用层次模块化模糊神经网络实现对铝电解故障快速、有效检测的新方法。
This paper investigates the identification of unknown nonlinear dynamical system using multilayered feedforward neural network with a single hidden layer.
本文探讨了只用单个隐含层的前向神经网络对未知非线性动态系统的识别。
B-spline neural network is a three layer feedforward neural network and can be used in modeling, control, pattern recognition for nonlinear systems and other fields.
样条神经网络是一个三层前向神经网络，可广泛用于非线性系统的建模、控制和模式识别等领域。
Adaptive wavelet neural network intelligent detection is a method in which the wavelet function substitutes for the activation function of hidden layer in the neural network.
自适应小波神经网络检测法就是利用小波函数取代通常神经网络中隐层的作用函数来实现的。
The neural net adopts the improved BP net, a new method of determining the node number of optimum implication layer of neural net, and its correctness has been proved by a lot of facts.
神经网络采用改进的BP网络，提出的一种确定神经网络最优隐含层节点数的新方法，其正确性得到了大量事实的验证。
This paper introduced a three layer BP neural network, and realized the approximation of a continuous function.
构造一个三层BP神经网络，实现了连续函数的逼近。
The mapping model of film thickness of micro-arc oxidation(MAO) on magnesium alloys is built on BP neural network with three layer structure.
选择三层结构的BP神经网络，建立镁合金微弧氧化膜厚的映射模型。
This paper proposes an internal model control system based on recurrent neural network, and considers jigger layer loose condition as research object.
该文提出一种基于对角递归神经网络的内模控制系统，并以跳汰生产过程床层松散状况为对象进行了研究。
We have studied that the variable structure neural network for single hidden layer and multi hidden layer.
先后研究了神经网络单隐层和多隐层的变化情况。
Using the basic principle of analog parallel harmonics measurement and a special multi-layer feedforward neural network, a corresponding harmonics measurement on-line is built.
通过构造一个特殊的多层前向神经网络，利用模拟并行测量装置的基本原理，设计了相应的谐波监测电路。
Combining fractal calculating dimension with multi layer neural network, a diagnosis method named as fractal neural network is built.
将分形计算维数概念与多层感知器神经网络结合，建立了机械设备的分形神经网络诊断方法。
The application of multi-layer neural networks in the prediction and control of lead-screw grinding is discussed.
最后，介绍了多层神经网络模型在丝杠螺纹磨削过程的预测与控制中的应用。
This paper describes the use of multi-layer perception model of neural network in speech recognition.
本文研究神经网络的多层感知器模型在语音识别中的应用。
Utilizing the theory of the Drazin inverse, we studied the expression of the general state solution of Multi-layer Cellular Neural Networks.
针对多层细胞神经网络模型，分析了其一般状态解并对其动力值域作了估计。
RBF neural network is a three-layer feedforward network and can be used to identify nonlinear model effectively.
RBF神经网络是一种三层前向网络，可有效用来进行非线性模型的辨识。
Aiming at the slow convergence rate of BP neural network, append a correlative node on hidden layer, improve the adaptive ability and rate of studying of neural network.
针对BP算法收敛速度慢的特点，在隐含层上加入了关联节点，改善了网络的学习速率和适应能力。
The structure of multi-layer feedback forward neural network is optimized by improved PSO. Learning quality and training speed of the neural network are improved.
提出的自适应粒子群优化算法，用于优化多层前馈神经网络的拓扑结构，提高了神经网络的学习质量和速度。
The classification of simple and complex objects is investigated using the multiple layer forward neural network and the self-organizing feature map network.
本文应用多层前馈神经网络和自组织特征映射神经网络分别对简单目标和复杂飞机目标进行了分类识别。
A novel three-layer neural network with knowledge-based neurons (NNKBN) in hidden layer has been applied to model the crossover discontinuities in stripline circuits.
本文采用一种新型的三层神经网络，即隐蔽层具有知识神经元的神经网络(NNKBN)模拟带状线电路中的十字交越不连续性。
In this paper, multi-layer feedforward neural networks are used to solve the nonlinear partial differential equation, and approach the centre manifold of the nonlinear system.
本文用多层前向神经网络求解该非线性偏微分方程，从而逼近非线性系统的中心流形。
Second, a three-layer BP neural network was designed to classify the muscle movement of forearm with AR model coefficient.
其次，设计了一个三层的BP神经网络，利用AR系数对手臂的各种肢体动作进行运动模式的分类。
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