网络模型输出同实验结果非常接近，具有广泛的适应性。
Simulating outputs of the BP network are very close to the results of experiments and have wide adaptability.
模型输出的兴奋性神经元群的平均膜电位反映脑电记录的局部电位。
Its output average membrane potential in the excitatory population standed for the local field potential recorded in scalp EEG.
不然，分别比较各个模型输出数据，使用一种棒状感应器直接测量par。
Or else, respectively as a comparison to the model output, we can measure par directly in the greenhouse, using a rod sensor.
需要揭示你的模型的细节，提供可视化的模型输出，并且表述模型的限制。
Be sure to reveal the details of your model, provide visualizations of the model output, and explain limitations of the model.
允许用户通过自定义标记加水，种植面积，选择swf文件的特殊效应模型输出的视频。
Allow users to customize output videos through adding water mark, cropping the area, and choosing special effect models of the SWF file.
其基本环节有：模型表面空间坐标数据测量、数据预处理、重构曲面模型、数字模型输出。
Its basic step includes: data measure of model surface, points pretreatment, reconstruction surface model, and the digital model export.
现有最小二乘支持向量机回归的训练和模型输出的计算需要较长的时间，不适合在线实时训练。
Least square support vector machines regression without sparsity needs longer training time currently, and is not adapted to online real-time training.
结果表明：模型输出数据与实测数据相当吻合。证明使用人工神经网络建立表冷器模型是可行的。
The result shows the output of model based on artificial neural network is identical with the real output.
这些估算结果与模型输出一致，其中具体的偏倚情况视不同的艾滋病毒病毒感染程度和阶段以及死亡率背景而有所不同。
These estimates were in agreement with the output from the model, in which the bias varied according to the magnitude and stage of the epidemic of HIV infection and background mortality rates.
模型输出到一个模糊自适应控制器的输入导致的系统，实时地调整工件速度，得到最多的要求的表面粗糙度。
Input of the model outputs into a fuzzy adaptive controller leads to the system to adjust real-timely the workpiece speed, getting the up to the requirements surface roughness.
针对样本集在神经网络中所起到的重要作用，用大量的仿真试验研究了区域映射模型输出与输入空间的拓扑相似性。
The topological similarity between the output distribution and the input distribution of the region mapping model are investigated through a lot of computer simulations.
以中国东北长白山阔叶红松林为例，应用林窗模型NEWCOP探索了不同模拟样地面积对林窗模型输出结果的影响。
A case study on the effect of different plot area on forest gap model simulation was conducted with forest gap model NEWCOP in broad leaved Korean pine forests at Changbai Mt. of Northeastern China.
系统辨识是基于免疫RBF神经网络，用于故障检测的残差是通过对系统的模型输出与系统的实际输出的在线比较得到的。
The system identification is based on immune strategy RBFNN, and the residuals are generated by on-line comparing the system model outputs with the actual system outputs.
系统辨识基于免疫r BF神经网络，用于故障检测的残差是通过对系统的模型输出与系统的实际输出进行在线比较得到的。
The system identification was based on immune strategy RBFNN, and the residuals were generated by on-line comparing the system model outputs with the actual system ones.
然后从大系统模型集结为背景提出模型输出跟随控制问题，研究了被控系统的标称系统与理想模型相似时的模型输出跟随控制系统的鲁棒控制问题。
Secondly, model output tracking robust control is proposed under the large-scale mode aggregation and the condition that the controlled nominal system is similar to the reference model.
这种模型通常就是数据建模会议的输出或最终结果。
This model is usually the output or the end result of data modeling sessions.
更具代表性的是，存在一个主要的输入源，以及一些额外的通用参数和一组输出模型。
More typically, there is one primary input source, with a few extra general-purpose parameters and a set of output models.
方法之一是将这个目标转换输出作为这个主模型。
One approach is to set the target transformation output as the master model.
选择输入逻辑模型和输出文件夹，如下面的屏幕快照所示。
Choose the input logical model and the output folder as shown in the screenshot.
当按下这个按钮时，它将读取ui字段的当前值并将其写入输出数据模型。
When pressed, it reads the current value of the UI field and writes it into the output data model.
图2显示了使用每种模型将文档写入到输出流中的平均时间。
Figure 2 shows the average times for writing the documents to an output stream using each model.
该确认页面输出数据模型的属性。
This confirmation page outputs the properties of the data model.
图3显示了一个屏幕快照，清单3则包含了此模型的输出。
Figure 3 shows a screenshot, and Listing 3 contains the output from this model.
该表单包括三部分：模型、输入部分和输出部分。
This form has three parts: the model, the input, and the output.
这两个模型允许输出更为灵活，是数据挖掘领域的两个功能更为强大的武器。
These two models allow us more flexibility with our output and can be more powerful weapons in our data mining Arsenal.
这些数据为当代的这种记忆输入——输出平衡模型提供了有力的支持。
Such data offers gross support of contemporary models of memory that assume an input-output balance.
对流程进行了建模之后，可以将模型的输出作为活动的需求收集阶段的输入使用。
Once the processes are modeled, the outputs of the models can be used as inputs to the requirement gathering phase of an initiative.
之后，只要我们有一个输出值未知的新的数据点，我们都可以将其放入这个模型并生成预期的输出。
Then, whenever we have a new data point, with an unknown output value, we put it through the model and produce our expected output.
通常，流程会将接收的数据作为输入，将生成的数据作为输出，这与流程模型内部的活动类似。
Very often, processes receive data as inputs and produce data as outputs similar to activities inside the process model.
通常，流程会将接收的数据作为输入，将生成的数据作为输出，这与流程模型内部的活动类似。
Very often, processes receive data as inputs and produce data as outputs similar to activities inside the process model.
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