本文介绍用于沉积微相智能识别的神经网络模式识别方法。
This paper introduces an identification of sedimentary microfacies by the pattern recognition approach using artificial neural networks (ANN).
本文采用神经网络模式识别的方法，研究了金融票据中数字等特征的识别问题。
This paper does some researches on recognition of numerals in financial notes with neural 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.
本文根据测井资料所包含的丰富的地层沉积学信息，运用神经网络模式识别方法，进行沉积微相的识别。
Based on a number of stratigraphic sedimentary information included in log data, this paper carries out a recognition of sedimentary microfacies with a method of neutral network pattern recognition.
利用神经网络模式识别能力对输入数据处理辨别，设计合适的控制网络层对汽车纵向动力学系统实施控制；
Then, the neural networks model is applied to identify and process input data, design suitable networks layer for the vehicle longitude dynamics system control.
四参数的定量构效关系显著性较好，神经网络模式识别总识别率为98%，可较精确地预测化合物的抗癌活性。
The BP artificial neural network pattern recognition has a 98% accuracy, which may predict the activities of taxol analogues.
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。
After working through the book you will have written code that USES neural networks and deep learning to solve complex pattern recognition problems.
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。
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.
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。
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.
人工神经网络在模式识别中的应用。
Application of artificial neural networks to pattern recognition.
模式识别成为人工神经网络特别适宜求解的一类问题。
Artificial neural network pattern recognition has become especially suitable for solving a class of problem.
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。
Artificial neural networks constitute an alternative technique to be used for generalization within the area of statistical pattern recognition.
针对电机振动信号的频谱特点，提出基于小波神经网络技术的电机故障模式识别与诊断的新方法。
A novel method of pattern recognition and fault diagnosis in electrical machine based on the wavelet-neural network is proposed according to the frequency spectrum characteristics of vibration signal.
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。
The results demonstrate that pattern recognition of ceramic raw materials by artificial neural network agrees with the fact.
在利用地面传感器获取目标地震信号特征的基础上，借助神经网络理论，解决基于地震动信号的典型目标的模式识别问题。
On the basis of acquiring character of seismic signal of target by ground sensors, in virtue of nerve network, it solves pattern recognition of typical target based on seismic signal.
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。
Self Organizing Map is a method of artificial neural network, which implements pattern recognition and data clustering simultaneously.
神经网络是目前模式识别的主要方法。
Neural network is one of the main methods of pattern recognition.
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。
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.
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。
A hierarchical feedforward neural network model particularly suited to practical statistical pattern recognition tasks is proposed in this paper.
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。
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.
人工神经网络已被广泛应用于气体传感器阵列的模式识别研究中。
ANN has been widely used for the pattern recognition of the gas sensor array.
神经网络作为一种智能技术，已经在模式识别、认知科学、人工智能和最优化问题等领域中得到了较好的应用。
As a kind of intelligence technique, neural network has already been used in identification model, perception science, artificial intelligence and option.
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.
介绍采用模糊神经网络进行电梯群控系统交通模式识别的方法。
A traffic pattern recognition method of elevator group control systems based on fuzzy neural networks is presented in this paper.
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。
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.
当前神经网络的主要应用领域有：模式识别、自适应控制、市场分析、决策优化、预测分析、知识处理等。
Present applications of neural network are as follows: pattern-recognition, self-adaptation control, market analysis, decision optimization, prediction analysis, knowledge processing, etc.
神经网络的模式识别能力被用于在处理支票时读取手写，通常其等同于由人来输入到系统中。
The pattern recognition capability of neural networks has been used to read handwriting in processing checks. The amount must normally be entered into the system by a human.
结果表明，以CP神经网络构筑的故障模式识别器有很强的非线性映射能力，可对机械设备故障模式进行正确分类。
The result indicates that based on CP neural network, the fault pattern recognition system has strong nonlinear mapping ability, therefore it can be used to correctly classify the mechanical faults.
结果表明，以CP神经网络构筑的故障模式识别器有很强的非线性映射能力，可对机械设备故障模式进行正确分类。
The result indicates that based on CP neural network, the fault pattern recognition system has strong nonlinear mapping ability, therefore it can be used to correctly classify the mechanical faults.
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