Artificial neural networks are an important method of information processing field, and have a wide application range.
人工神经网络是信息处理领域的重要方法，有十分广泛的应用前景。
The nonlinearity and distribution of information processing of the artificial neural network are utilized in the indentification of model of coal spontaneous combustion stove at low temperature.
将人工神经网络的非线性特性和信息的分布性用于煤低温自燃实验炉的模型辩识。
The artificial neural network (ANN) has good processing ability to the non-linear information so that it is suitable for solving the index complexity and fuzzy problem.
人工神经网络具有良好的非线性信息处理能力，特别适宜于解决风险评价中多指标复杂性和不确定性的问题。
By introducing the information processing mechanism of artificial immune systems and neural network to CSA, an immune clonal selection algorithm (ICSA) was proposed.
把人工免疫系统和神经网络系统的信息处理机制引入到CSA提出了免疫克隆选择算法。
In recent years, because of the emergence of intelligent information processing technology, such as neural networks and fuzzy logic, circuit and device modeling have begun to use such methods.
近年来，由于神经网络、模糊逻辑等智能信息处理技术的兴起，电路与器件的建模也开始使用这类方法。
It is proved that the intelligent neuron has greater knowledge storing capacity than normal neuron and can strengthen the information processing capability of neural network.
分析表明这种智能神经元较普通神经元具有更高的知识存储能力，从而使整个神经网络的信息处理能力得到大大增强。
Quantum neural networks (QNN) Integrates the characteristics of artificial neural networks by quantum neuron computing, and becomes a promising field in information processing.
量子神经计算是传统神经计算与量子计算相结合的产物，它已成为新的信息处理技术之一。
The new canceller has the advantages of neural networks, such as the ability of parallel distributed information processing, fault-tolerance and robustness, and is easy to use as a noise canceller.
该噪声消除器具有神经网络分布式并行信息处理能力、较好的容错性和鲁棒性以及除噪性能。
Artificial neural network has good nonlinear mapping and a high degree of parallel processing of information capacity.
人工神经网络具有良好的非线性映射和高度的并行处理信息能力。
The research of this paper laid the foundation for understand the method of information processing and neural encoding mechanism.
本论文的研究为更好的理解神经编码机理及其处理外界信息的方法奠定了基础。
Artificial neural network is a non-procedural, adaptability, the brain's style information processing.
人工神经网络是一种非程序化、适应性、大脑风格的信息处理。
The Brain. The Major Parts of the Brain and What They are for. Neurons, Neural Circuits, and Elementary Information Processing.
脑。脑的主要部分与其功能。神经元、神经网路、以及基础讯息处理。
Neural networks have much merit of theory and practice in the pre-diction field because of its information processing properties.
人工神经网络以其独特的信息处理特点应用于预测领域具有很大的理论和实际应用价值。
With the excellence in complex and non-linear information processing, artificial neural network is fitter for the forecasting of fetal weight than traditional regression methods.
对复杂的、非线性信息处理有其独特的优势。在预测胎儿体重这一领域，人工神经网络的方法比传统的回归分析法有着更大的优势。
Adopting advanced information processing theories and technologies is the only way to solve these problems, and employing neural networks shall be an optimal choice.
解决这些问题的出路在于采用先进的信息处理理论和技术，而神经网络就是一个最佳的选择。
Artificial Neural Network(ANN) is a new science of information processing. It acts as a transition from conventional information processing to human brain.
人工神经网络是一门崭新的信息处理科学，它可以说是从常规的信息处理到实现电子人脑的一种中间过渡。
The information processing mechanism for Neural Network Computers (NNCs) being explained, two functional models of NNC systems are presented.
在阐明神经网络计算机(NNC)信息处理机理的基础上，给出nnc系统的两个功能模型。
And neural network has many advantages in diagnosis, such as study by himself, the ability of information processing.
神经网络所具有的学习与认识、信息加工等能力使得它在故障识别技术中独领风骚。
Compared with the current computer, neural networks are more close to the information processing mode of human brain.
与当今的计算机相比，神经网络更加接近人脑的信息处理模式。
In another approach, parallel information processing in the neural network was improved by assigning physical meanings to network nodes.
定义网络结点物理意义的产生式神经网络可改善其处理效果。
Three characteristics of brain information processing are summarized: selective, adaptable and cooperative, and neural-group. Selective theory including these characteristics is addressed.
总结脑信息处理的三个特性：选择性、适应性及协同性，并论述了涵盖此三个特性的神经元群选择理论。
The formation of visual perception is a basic problem of information processing in visual neural system.
知觉形成问题是视觉信息处理系统研究的基本问题。
Neural cell produced signal when the result from processing all of input information is lager than a limited value.
只有当神经元对所有的输入信号的综合处理结果超过某一阈值后才输出一个信号。
This is a great help to understand the information processing mechanism in the visual neural system and to design new algorithms of image processing.
这对深入理解视觉系统信息处理机制和设计新的图像处理算法有重要指导意义。
This is a great help to understand the information processing mechanism in the visual neural system and to design new algorithms of image processing.
这对深入理解视觉系统信息处理机制和设计新的图像处理算法有重要指导意义。
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