input layer
英 [ˈɪnpʊt ˈleɪə(r)]
美 [ˈɪnpʊt ler]
输入层
双语例句
- The output of each input layer node is fed to each of six hidden-layer nodes, which in turn feed three output nodes.
再将各个输入层节点的输出提供给6个隐藏层节点，这些隐藏层节点将依次提供给3个输出接点。 - Each pixel's grayscale value is then fed to each of six input layer nodes.
然后，将每个像素的灰阶值提供给6个输入层节点。 - We have taken a first step by morphing layer IV, the cortex's input layer, to obtain an orientation preference map in an immature form.
我们踏出了第一步，模铸了第六层细胞，也就是皮质的输入层，得到的指向偏好图还不成熟。 - And when preprocessing intensity images to be recognized were loaded onto the input layer of BP network, recognition results were obtained at output layer.
最后编写了一个实现整个系统的软件，将图像输入软件，根据神经网络检测，输出端即可得到识别结果。 - BP neural network topology, including the input layer ( input), hidden layer ( hide layer) and output layer ( output layer).
BP神经网络模型拓扑结构包括输入层（input）、隐层（hidelayer）和输出层（outputlayer）。 - The experiment includes: signal preprocessing algorithms; ANN design, number determination of the input layer, output layer and the hidden layer of the BP network; train of the neural network and analysis of the results.
其中涉及信号预处理算法、人工神经网络设计、进行多气体定性和定量分析的BP网络的输入输出和隐层单元确定方法、网络的训练及实验结果分析等。 - The paper analyses the factors influencing BP network model precision of medium and long term hydrological forecast, among them, the node point number of input layer, the node point transfer function and the choice of the network training mode influences greatly the model precision.
文章分析了影响中长期水文预报BP网络模型精度的因素，其中输入层节点数、节点转换函数及网络训练方式的选择对模型精度的影响很大。 - When BP network model is established, 8 parameters affecting the debris flows activity of the studying area are chose as the net input layer, and20 samples are used to train the network.
在BP网络模型建立时采用了对研究区泥石流活跃程度影响最主要的8个参数作为输入层，并选取了研究区的20个样本对网络进行训练。 - Analyze the effect on cylinder pressure recovery caused by the middle layer neural network and the input layer neural network.
并分析了中间层神经元个数和输入层神经元的个数对压力识别的影响。 - The fuzzy set theory was employed at the input layer to make the processing of linguistic variables possible.
网络的输入层引入模糊集合理论，使网络能处理语义变量。 - The network model consists of three layers: the input layer, the hidden layer, and the output layer.
网络模型由三层构成：输入层、隐含层、输出层。 - According to the features of neural network, the author design a BP network including input layer, hidden layer and output layer, research how to design and choice the parameters of BP network, and develop the network simulation software.
根据神经网络的应用特点，设计了一个包括输入层、隐层、输出层的BP网络，探讨了BP网络的参数设计与选择。 - This paper proposes a method for identifying structural modal parameters based on neural network. The influence of variety of noise and node number of the input layer of neural network to the error of the network are also taken into consideration.
讨论了在输入未知时结构模态参数基于频率响应函数的神经网络识别方法，并研究了不同的噪声水平和网络输入层结点数目的变化对网络输出误差的影响。 - In this method, a multilayer feedforward neural network model with strong mapping, associating, generalizing and summarizing abilities which includes input layer, middle processing layers, output layer and training layer, is established.
在该方法中建立了由输入层、中间处理层、输出层和训练层构成的，且具有很强映射、联想、推广和概括能力的多层式前向神经网络模型。 - The network is constituted of input layer and competition layer whose nodes link with each other totally.
网络由输入层和竞争层组成。 - The input layer of Each sub-network accepted the present signal of the system and the output signal of controlled object;
每个子网络的输入层接受系统的给定信号和对象的输出信号； - Gabor atom transforms are used as reprocessing units in the GANN input layer.
Gabor原子网络的输入层采用Gabor原子变换作为预处理单元，完成对特征的提取。 - A radial basis process neural networks model was proposed, which is a kind of three-layer forward structure constituted of input layer, radial basis function hidden layer and output layer.
提出了一种径向基过程神经元网络，该网络模型为3层前向结构，由输入层、径向基过程神经元隐层和输出层组成。 - The genetic algorithm ( GA) is used to optimize the node number of input layer, the spread coefficient of radial basis function, and training error, in order to obtain the optimum forecasting model of RBF network.
利用遗传算法，对神经网络输入节点数、径向基函数分布系数及网络训练误差进行了优化，得到了最优的RBF网络预测模型。 - Then determine the structure of BP neural network layer ( the input layer, hidden layer and output layer, each layer) the number of nodes, thereby completing the structure of BP neural network model design.
随后确定了BP神经网络结构的层数（输入层、输出层、隐层）和各层的节点数，从而完成了BP神经网络结构模型的设计。 - Sampling time point of each factor ( such as: the total system load, the system actual output, etc.) and the product of its weight as input layer neurons, and the corresponding time point of the price for the output layer neurons.
采样时刻点的各影响因素（如：系统总负荷、系统实际出力等）与其权重乘积之和作为输入层的神经元，其相应时刻点的电价为输出层神经元。 - Analysis of the method determine input layer, hidden layer and training functions; find characteristic parameter extraction method for drive axle housing residual lifetime prediction.
分析了驱动桥壳寿命评估模型的输入层、隐含层、训练函数的确定方法和用于驱动桥壳寿命预测的特征参数的提取方法。 - A three-layer architecture which consists of an input layer, a hidden layer and an output layer, is adopted in our neural network.
本文采用包含输入层，隐藏层和输出层的三层式神经网络结构。 - This paper points out the shortage that exists in current traditional statistical analysis in the stock, then makes use of BP neural network algorithm to predict the stock market by establishing a three-tier structure of the neural network, namely input layer, hidden layer and output layer.
本文指出了目前传统的数理统计在股票分析上的不足，使用BP神经网络算法对股市进行预测，通过建立一个三层结构的神经网络，即输入层、隐含层和输出层。 - For the fuzzy neural network expert system, the number of neurons for input layer, output layer and hidden layer are determined based on the amount of fault types and the input variables needed for fault diagnosis.
根据所归纳整理的故障类型和故障诊断所需的输入量，确定整个模糊神经网络系统模型的输入层神经元个数、输出层神经元个数、网络的层数以及隐层的神经元个数。 - In this article, the traditional nerve network is improved. A network is designed for each of the human faces to classify. Activation functions and nodes of nerve cells of the input layer, hidden layer and output layer are designed respectively.
本文在传统的神经网络上进行改进，对每个人的人脸设计一个网络进行分类，并分别对输入层、隐藏层以及输出层的激励函数和神经元节点数分别进行设计。 - In general, the output of the network layer and input layer is fixed, and the number of hidden layer nodes has been a hot issue.
一般而言，网络的输出层和输入层比较固定，隐含层节点的个数一直是一个热点研究问题。 - This model includes the input layer, hidden layer and output layer.
该模型包括输入层、隐含层和输出层。 - When it inputs into a neural network, the input layer units of neural network can be greatly reduced. Which simplify the structure and improve the efficiency of fault diagnosis.
这样就大大减少了神经网络的输入层单元数，从而简化了结构，提高了诊断效率。