给出了输入-输出关系、突触联接关系、动态方程和学习功力学以及各种统计量的均值和方差。
The relation between input and output, the synaptic connection relation, and their dynamic equations and learning rules, as well as the mean value and mean-square...
当使用微分方程时，要对其进行线性化并受限于一定的约束条件才能建立有用的输入-输出关系。
When differential equations are encountered, they are linearized and subjected to whatever constraints are necessary to establish useful input-output relationships.
在不同的用例变量之间存在哪些输入和输出关系？
Which input and output relations exist between the various use case variables?
神经网络的出现为一类输入输出关系呈高度非线性的系统提供了建模的有效工具。
The emergence of neural network provide effective tools for a system with highly nonlinear input-output relations.
母线保护的物理对象是一个输入输出关系确定的函数对象，可用一个ANN模型去替代，或用一个ANN数学模型去逼近母线保护物理对象的输入输出之间的函数关系。
Physical object of bus protection is a function with certain relation between inputs and outputs, which can be replaced by an ANN model, i. e. can be approximated by an ANN mathematical model.
传感器的静态特性是指被测量的值处于稳定状态时传感器的输入输出关系。
The static characteristic of sensor means a relationship between the input and the output of the sensor when the value being measured is stable.
对重力卫星微加速度计位移检测电路的输入输出关系进行了详尽的推导，对各种噪声进行了分析，并选取一组典型参数计算了具体数值。
Various type of noises of displacement detecting circuit of accelerometer for gravity satellite are analyzed and computed through deriving the relationship between input and output.
根据某型飞机交联组件功能特点及输入输出关系，研究其测试原理，给出以PC 104架构的测试仪总体设计方案。
According to the characteristic, relationship with input and output, and test principle of certain type airborne coupling component, a design frame of test instrument based on PC104 is presented.
并且，对于高度非线性的听觉系统，采用从有限的实际样本中“自学习”到具有输入输出关系能力的人工神经网络模型来实现。
In addition, compared with high non-linear auditory system, artificial neural network has the capability to learn from limit sample sets and map input to output in various dimensions.
母线保护的物理对象是一个输入输出关系确定的函数对象，可用一个ANN模型去替代，或用一个ANN数学模型去逼近母线保护物理对象的输入输出之间的函数关系。
The protected object of bus protection is a function with certain input and output, which can be represented by ANN model, or approximated by ANN mathematical model.
模糊神经网络系统可以根据系统输入输出信号，建立系统的输入输出关系，并对环境的变化具有较强的自适应学习能力。
Fuzzy Neural Network System (FNNS) can construct input? Output relationship by means of input and output signal and FNNS has special characteristics of adaptive learn while environment is changing.
多层前向神经网络的误差逆传播算法（简称BP算法）的输入输出关系实际上是一种映射关系，适于解决上述非线性映射问题。
The I/O relationship of back propagation algorithm (BP algorithm) for Feed-Forward Multi-layered Neural Network is a mapping relationship, which can resolve the above nonlinear problem.
它依据被控系统的输入输出数据，通过学习得到一个描述系统输入输出关系的非线性映射。
It get the nonlinear mapping to describe the relation of the system's input and output by learning the controlled system's input and output data.
然后，基于电特性的输入输出关系设计了一个模糊控制器，且利用模糊控制器的输入输出样本训练神经网络。
Then a fuzzy controller is designed based on relationship of input vs. output of electric characteristics. The neural network is trained from the samples of input and output of the fuzzy controller.
然后，基于电特性的输入输出关系设计了一个模糊控制器，且利用模糊控制器的输入输出样本训练神经网络。
Then a fuzzy controller is designed based on relationship of input vs. output of electric characteristics. The neural network is trained from the samples of input and output of the fuzzy controller.
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