For a more relevant test of Psyco, I dug up some neural network code that I had written about in an earlier article (see Resources).
为进行更恰当的Psyco测试，我搜寻出我在以前的文章里编写的一些神经网络代码(请参阅“参考资料”)。
There are two test options available between the 15th and 18th weeks to screen for chromosomal abnormalities and neural tube defects such as Down's syndrome and spina bifida.
在15周到18周之间有两个极好的检查可以选择来甄别染色体异常和神经管缺损症状，比如：唐氏综合症和脊柱裂。
The end of the test, you no longer use this neural "trough", over time, it gradually disappeared.
而考试结束后，你不再使用这条神经“槽”，随着时间流逝，也逐渐地消失了。
The test shows that this method is effective and feasible, and has higher diagnosis precision than BP neural network in cases of fewer samples.
试验结果表明该方法是有效、可行的，且在小样本情况下比BP神经网络具有更高的诊断精度。
BP Neural Network is applied in this paper to establish the model between the process parameters and the shrinkage, and to optimize the process parameters by the test data.
采用BP神经网络建立注塑成型工艺参数与注塑制品收缩率之间的网络模型，并通过试验数据对成型工艺参数进行优化。
The test indicates that the neural network can decrease the exhaust gas effectively.
试验表明神经网络对减少废气排放起了较大的作用。
The neural network model of high precision was obtained by the training of orthogonal test method.
通过正交试验法对模型的训练，得到了高精度的神经网络模型。
Methods Sterility test, mycoplasma detection, pyrogen detection and abnormal toxicity test were performed respectively on culture supernatant of neural stem cells from bone marrow.
方法对骨髓源性神经干细胞的培养上清分别进行无菌试验、支原体检测、热原质检测和异常毒性试验。
It was put forward to apply neural network method to process the dynamic compression test data of molded pulp products.
根据纸浆模塑制品动态压缩试验的测试数据，提出了采用神经网络方法对试验数据进行处理。
A multiple faults test generation algorithm based neural networks for digital circuits is proposed considering that the test generation efficiency for multiple faults in digital circuits is low.
针对数字电路中多故障测试生成效率较低的问题，提出了基于神经网络的数字电路多故障测试生成算法。
The sulfur transformation during pyrolysis of used tires is studied in BFB reactor, and IRN neural network model is developed to test against observed behavior.
对废轮胎在鼓泡流化床热解反应器中热解时硫的迁移行为进行了试验研究，并基于带偏差单元的IRN神经网络对其进行了预测。
At last, according to the test data above, the author develop the fault diagnose system of reefer containers based on neural network with Visual Basic language.
第四部分，作者提出了船舶冷藏集装箱的远程故障诊断系统的基本框架，这个框架由两部分组成，即现场诊断系统和远程诊断；
RBF neural network is adopted to test the LF damage quantity of steel wire-rope.
采用径向基神经网络对钢丝绳断丝损伤进行定量识别。
First, establish test pattern between among checkpoints with BP neural network technique.
首先，利用BP神经网络建立了点与点之间的测试模型。
It can also be used to test the impact of deleting various genes from neural stem cells of the SVZ.
它也能够用于测试各种各样svz神经干细胞基因缺失所产生的影响。
Spatial microgravity Ground test system Neural network control Sliding model control;
空间微重力；地面试验系统；神经网络控制； 滑膜控制；
This papers proposes a test and recognition method of genetic BP neural network on common digital modulation modes in RFID standard.
本文对RFID标准中常用的数字调制方式提出了一种基于遗传BP神经网络的测试识别方法。
Using the data obtained from a test vehicle, a neural network model of automotive for velocity tracking is developed at first.
利用试验汽车所获得的数据，首先开发出用于车速控制的神经网络模型。
Experimental results demonstrate that the foreign exchange rate forecasting system can forecast effectively and we can achieve good test results with neural network.
实验结果表明，该汇率预测系统能够有效地进行汇率预测，将神经网络用于汇率预测取得了较好的试验效果。
Methods the neural function of primary cerebral infarction patients was studied by the National Institutes of Health Stroke Scale (NIHSS) with rank test and multiple regression analysis.
方法采用美国国立卫生院卒中量表(NIHSS)对初发脑梗死患者神经功能进行评价研究，运用秩和检验和多元逐步回归的方法进行统计分析。
Objective to explore the culture conditions for the neural stem cells from embryonic rat cortices and to test their efficacy of expressing exogenous gene.
目的探讨胚胎大鼠神经干细胞的体外培养条件及外源基因的表达效率。
The training model of test simulation for car of inverted pendulum based on BP algorithm of artificial neural networks (ANN) is a BP network that has 4-input and 3-layer structure.
基于人工神经网络BP算法的倒立摆小车实验仿真训练模型，其倒立摆BP网络为4输入3层结构。
The main contents of the paper are mainly consists of the terminal test equipment, the software's design which is based on neural network and programming.
本课题的主要工作内容包含以下两个部分：终端测试仪器的设计、基于神经网络下的软件的设计与编程。
The t-test result showed that the prediction value agreed with the observation data fairly well and the BP neural network model had rather high prediction precision.
t检验结果表明，BP神经网络训练和预测得到的模拟值与实测值之间吻合很好，该方法具有较高的预测精度。
Using the neural networks technique and small test work, a high precision model for the non linear reflection of variables has been established and achieved satisfactory results.
应用神经网络技术可以较少的试验工作量，建立高精度的变量间非线性映射模型，取得了满意的效果。
To test the dynamic property, this pneumatic fatigue test system was identified by a recursive BP neural network.
为了考察该系统的动态性能，采用递归BP神经网络对该系统进行辨识。
Using BP neural network the proportion of CO2 is predicted The predicted proportion can be compared with well test results very well.
根据实验关系利用BP神经网络可预测气层CO含量，实际处理结果与测试资料相比具有较高精度。
The test results show that a high accurate and efficient calculating result can be obtained by the tire cornering characteristics model based on the artificial neural network.
试验结果表明，人工神经网络可以产生出具有很高的准确性和计算效率的轮胎侧偏特性模型。
The test results show that a high accurate and efficient calculating result can be obtained by the tire cornering characteristics model based on the artificial neural network.
试验结果表明，人工神经网络可以产生出具有很高的准确性和计算效率的轮胎侧偏特性模型。
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