而神经网络则是用工程技术手段模拟生物神经网络的结构特征和功能特征的一类人工系统。
Artificial neural network is one of artificial system, which simulates structural and functional characteristics of biological neural network resorted to engineering technological means.
现实性神经网络是相对人工神经网络而言的，它与人工神经网络相比，更接近真实的生物神经网络。
Compared with artificial neural networks, realistic neural networks are much closer to real biological neural networks.
理解神经网络的第一步是从对抽象生物神经开始，并把重点放在阈值逻辑单元（TLU）这一特征上。
The first step toward understanding neural nets is to abstract from the biological neuron, and to focus on its character as a threshold logic unit (TLU).
尽管这是个生物行为的简化描述。但同样可以充分有力地被看作是神经网络的模型。
Even though this picture is a simplification of the biological facts, it is sufficiently powerful to serve as a model for the neural net.
说实话，在计算机科学的一些主要分支学科的命名上就可以看出生物学的影子，譬如人工神经网络，遗传算法和进化计算法等等。
Indeed, the names of major subfields of computer science-such as artificial neural networks, genetic algorithms, and evolutionary computation-attest to the influence of biological analogies.
而今我们有了电脑病毒，神经网络，生物圈二号，基因治疗法以及智能卡——所有这些人工构造的产品，联接起了机械与生物过程。
We now have computer viruses, neural networks, Biosphere 2, gene therapy, and smart CARDS — all humanly constructed artifacts that bind mechanical and biological processes.
第二章是研究一类无穷时滞微分系统，此系统在生物，神经网络等领域中都有广泛应用。
In the second chapter, we study an infinite delay differential equation, the system was widely applied in the biology, neural network and some other fields.
平面系统（1）具有重要的生物和物理背景，大量的神经网络模型都是以这种形式被提出的。
The planar delay differential system (1) has significant biological and physical backgrounds. For example, some special cases of (1) have been proposed as models of neural networks.
介绍了基于生物激励神经网络的移动机器人路径规划。
The biologically inspired neural networks based path planning approaches of mobile robot were introduced.
基于生物激励神经网络、滚动窗口和启发式搜索，提出了一种新的完全遍历路径规划方法。
A new approach to complete coverage path planning for mobile robots, which integrates biologically inspired neural network, rolling window and heuristic searching, is presented.
所以在此基础上，利用进化神经网络，采取BP算法和遗传算法建立了真核生物基因启动子识别模型。
On the basis of evolutionary neural network, the recognition model of promoter in eukaryote's gene was built using BP algorithms and genetic algorithms.
该方法是基于生物免疫系统反面选择机理，并结合人工神经网络进行监测的一种方法。
This approach is based on negative selection mechanism of the natural immune system and combined with artificial neural network to be used for monitoring.
该方法是基于生物免疫系统反面选择机理，并结合人工神经网络进行监测的一种方法。
The approach is based on negative selection mechanism of the natural immune system and combined with artificial neural network to be used for monitoring.
研究方向包括时滞微分方程和反应扩散方程理论及其在神经网络和生物动力系统方面的应用。
My current research interests include theory of delay differential equations and reaction-diffusion equations and also their application to neural networks and biological dynamic systems.
作者对人工神经网络在膜污染中的应用进行了较为全面的综述，并指出了其在膜生物反应器膜污染研究中的应用前景。
A critical review on the potential application of artificial neural network in membrane fouling research is given, and the prospect of artificial neural network in membrane bioreactor is pointed out.
在人工智能领域，神经网络是指通过将专门的计算设备连接成一个网络，模拟生物神经元，让使它们可以学习数据中潜在统计。
In artificial intelligence, a neural network simulates biological neurons by connecting specialized computing devices into a network, which allow them to learn the underlying statistics of the data.
人工神经网络为膜生物反应器膜污染预测的研究提供了新的思路，是膜生物反应器优化控制的有效工具。
Artificial neural network offers a new approach to its study and prediction of membrane fouling, which is an effective tool to optimize membrane bioreactor operating conditions.
人工神经网络和模糊识别理论作为模拟生物体的信息处理系统。
The artificial neural network(ANN) and the fuzzy recognition(FR) are information process systems to simulate biological mechanism.
人工神经网络虽然在人工智能的很多领域取得了成功，但与生物智能仍有很大差距。
The artificial neural network still has very big gaps with living things intelligence although many fields in artificial intelligence have got success.
表明人们在参考生物神经系统来建立人工神经网络系统时必须慎重对待生物神经系统的某些特点。
The work indicates that people should be very careful when they build neural network models by considering the properties of a biological neural system.
该文根据生物神经元状态变化导致人脑空间结构和状态变化这一原理，提出了一种自适应构造神经网络的新方法。
According to the principle of biological neuron, which state influences the condition of the brain, a new method is presented to adaptively construct neural networks.
目前脊椎类生物的中枢模式发生器理论在神经网络研究中起着一个重要的作用。
Now the theory of the central pattern generators of the vertebrates Plays an important role in studies of neural networks.
本文利用人工神经网络中的BP网络，建立赤潮生物密度与环境因子的人工神经网络的预报模型。
This article introduces a predictive model of Artificial Neural network of red tide biology density and environment factors by use of the back propagation (BP) network.
模仿生物嗅觉系统，由气敏传感器阵列结合神经网络模式识别技术构成了仿生鼻。
Imitating the biological olfactory system, a bionic nose system was constructed, which consists of gas sensor array and pattern recognition system of neural network.
使用模糊神经网络提取易于理解的“IF-THEN”模糊规则，并用于亚苄丙二腈类衍生物活性的预测，结果较好。
Fuzzy neural networks was used to extract "IF - THEN" rules, and applied in QSAR. The result is satisfactory.
结合GIS技术，应用B- P神经网络建立了森林生物量非线性遥感模型系统。
With GIS (Geographic Information system), applying the B-P Nerve Network the nonlinear forest biomass RS (Remote Sensing) modeling system was designed.
例如，神经网络可以被应用到诸如疾病分类和生物标记的识别问题上。
As such, neural networks have been applied to problems such as disease classification and identification of biomarkers.
针对生物发酵过程中温度控制难以建模的问题，基于非线性自回归滑动平均（NARMA）模型，设计了神经网络自回归滑动平均（NN-NARMA）模型。
To solve the problem of modeling temperature control in the fermentation process, a neural network nonlinear auto regressive moving average(NN-NARMA) modeling method for nonlinear system is proposed.
针对生物发酵过程中温度控制难以建模的问题，基于非线性自回归滑动平均（NARMA）模型，设计了神经网络自回归滑动平均（NN-NARMA）模型。
To solve the problem of modeling temperature control in the fermentation process, a neural network nonlinear auto regressive moving average(NN-NARMA) modeling method for nonlinear system is proposed.
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