Despite the major neural overhaul underway during adolescence, most individuals maintained a unique and consistent pattern of underlying brain oscillations.
尽管许多人主要是在青春期接受主要的神经系统检查，大多数人的潜在大脑振幅都保持一种稳定的特别的脑图像。
After working through the book you will have written code that USES neural networks and deep learning to solve complex pattern recognition problems.
在完成本书的学习后，你将可以编写代码来使用神经网络和深度学习来解决复杂的模式识别问题。
Neural network can solve some problems of blast furnace expert system such as knowledge getting and inference ability, and it is suitable for pattern recognition of blast furnace data distribution.
神经网络可以解决高炉专家系统最困难的知识获取与推理能力弱等问题，并适合于对高炉分布数据进行模式识别。
Artificial neural networks constitute an alternative technique to be used for generalization within the area of statistical pattern recognition.
人工神经网络技术在统计模式识别领域中的推广能力上成为了一个替代技术。
This neural network pattern recognition can be applied to feature extraction, clustering analysis, edge detection, signal enhancement and noise suppression, data compression, such as various links.
这样神经网络可应用于模式识别的特征提取、聚类分析、边缘检测、信号增强以及噪声抑制、数据压缩等各个环节。
Application of artificial neural networks to pattern recognition.
人工神经网络在模式识别中的应用。
Artificial neural network pattern recognition has become especially suitable for solving a class of problem.
模式识别成为人工神经网络特别适宜求解的一类问题。
We are testing a neurobiological model of brain function with these experiments, which proposes certain neural filing pattern in the brain.
我们通过这些实验测试大脑的神经生物学模式，这种模式提供了大脑神经处理信息及接受刺激的方式。
In this paper, we try to combine the neural network with pattern recognition and find several new methods in fingerprint automatic identification as the practicable solution to the trouble.
本文试图将神经网络技术与模式识别技术相结合，提出若干行之有效的指纹自动识别新方法，为解决指纹自动识别技术中存在的种种困难找到切实可行的新途径。
Aimed at the pattern classification problems relating to time process, a neural network model named self-organization process neural network is brought forward in this paper.
针对与时间过程有关的模式分类问题，提出了一种自组织过程神经元网络模型。
Pattern classification of flaw is carried out with BP neural network and the feature selected.
利用BP神经网络分类器及选择的特征值对缺陷进行了模式分类。
Neural network models and an optical implementation of the Perception algorithm for pattern dichotomy are described.
本文阐述了几种神经网络模型和模式两分法中感知算法的一种光学执行过程。
The results demonstrate that pattern recognition of ceramic raw materials by artificial neural network agrees with the fact.
研究结果表明，人工神经网络用于陶瓷原料的模式识别，其结果和实际一致。
Based on fuzzy C-Means algorithm (FCM) and fuzzy Min-Max Neural Networks, an integrated algorithm for fuzzy pattern recognition using hypercube set was proposed.
结合模糊c均值算法(FCM)与模糊最小最大神经网络算法，提出一种基于超长方体集的模糊模式识别算法。
Now the theory of the central pattern generators of the vertebrates Plays an important role in studies of 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。
Simplifying building polygon by pattern recognition assisted by Neural Network and mathematical morphology.
利用神经元网络和数学形态学对建筑物多边形实现了模式识别化简。
In this paper we look into the application of moment function and neural network in feature extraction and pattern classification of image recognition respectively.
本文主要研究了矩函数和神经网络分别在图像识别的特征提取和模式分类方面的应用。
Then damage identification of severity of bolt looseness was studied by utilizing the pattern classification function of the BP neural network.
然后利用BP神经网络的模式分类功能，进行了螺栓松动程度的损伤识别研究。
Self Organizing Map is a method of artificial neural network, which implements pattern recognition and data clustering simultaneously.
自组织特征映射是一种人工神经网络方法，可以同时实现模式识别和数据分类。
To solve the pattern recognition problems, the neural network can achieve the involved demarcate of earmark space, and it cut out for high acceleration and parallel systems to achieve.
神经网络对于解决模式识别问题来说，可以实现特征空间较复杂的划分，适合于高速并行处理系统来实现。
This paper introduces three kinds of commonly used diagnosis methods, which are BP neural network method, fuzzy diagnosis method and, fuzzy pattern recognition method.
介绍了凝汽器的故障诊断常用的三种诊断方法，BP神经网络法、模糊诊断法、模糊模式识别法。
An intelligent method is proposed which ADAPTS a synthetical technology of fuzzy logic and neural network to identifying trend pattern in control chart.
提出了一种综合模糊技术与神经网络技术对基于控制图的趋势模式进行自动分类识别的智能方法。
A hierarchical feedforward neural network model particularly suited to practical statistical pattern recognition tasks is proposed in this paper.
本文提出了一个适用于统计模式识别任务的阶层式前馈神经网络模型。
Testing results prove that each traffic pattern can be distinguished exactly by two fuzzy neural networks.
实验的测试结果表明，用两个模糊神经网络可以准确的辨识出各种交通模式。
It is suggested that statistical pattern recognition and neural net technique should be applied to achieve image segmentation more accurately.
指出了要更加准确的对细胞图像进行分割，需要采用统计模式法和神经网络法技术等方法。
In this paper, some intelligent optimization control technologies, such as pattern recognition, neural network and expert system, and their application on the process of oil making are discussed.
简单介绍了模式识别、神经网络和专家系统等智能优化技术及其在石油炼制过程中的应用。
In this paper, some intelligent optimization control technologies, such as pattern recognition, neural network and expert system, and their application on the process of oil making are discussed.
简单介绍了模式识别、神经网络和专家系统等智能优化技术及其在石油炼制过程中的应用。
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