神经计算机是目前国内外新一代计算机研究的热点。
The research of the neural computer has become a focus of research concerning the new generation computer in recent years.
本文分析比较了神经计算机与传统计算机的联系与区别。
In this paper, we firstly analyse and compare the relationship and the difference between neurocomputer and traditional computer.
面向神经计算的并行计算机体系结构是神经网络研究中的一项重要工作。
The architecture of neural network computing oriented parallel computer is the elementary aspect of artificial neural network research.
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。
Quantum neural networks (QNN) Integrates the characteristics of artificial neural networks by quantum neuron computing, and becomes a promising field in information processing.
本文简要介绍神经网络与神经计算机，神经元模型，层状网络结构，误差逆传播算法及其在地球物理反演中的应用。
This paper gave a brief review on neural nets and neural computers, neuron models, layered network structures, error back-propagation algorithm and its application to geophysical inversion.
而专家系统中的教学知识则用神经规则来表示，该规则是一种根据神经计算集成的符号规则，属于混合规则中的一种。
Teaching knowledge of expert system can be shown by the neural rules, which comes into being based on calculated symbols of neural system, one of the mixed systems.
这个领域 有很多术语，例如连接机制、并行分布处理、神经计算、自然智能系统、机器学习算法和人工神经网络。
The field goes by many names, such as connectionism, parallel distributed processing, neuro-computing, natural intelligent systems, machine learning algorithms, and artificial neural networks.
本文介绍了神经网络的主要特点，一些著名的神经网络模型及应用，以及目前一些大公司的神经计算机实用化研究状况。
This paper introduces the main characteristics of neural networks. Some famous networks' models and their applications, and the research to the practical applications in some big companies at present.
然后根据神经计算部件与传统数字处理部件在系统中的地位与相互关系的不同，将NNC系统划分成三类结构，并简述其特点。
The NNC systems are classified into three structures according to what the Neural Computing Units and traditional Digital Processign Unit act in them, their features are also briefly discussed.
它不仅有助于科学家对机器学习和神经计算的深入研究，还有助于普通工程技术人员利用神经网络技术来解决真实世界中的问题。
It is not only helpful for scientists to investigate machine learning and neural computing but also helpful for common engineers to solve real world problems using neural network techniques.
它不仅有助于科学家对机器学习和神经计算的深入研究，还有助于普通工程技术人员利用神经网络技术来解决真实世界中的问题。
It is not only helpful for scientists to investigate machine learning and neural computing but also helpful for common engineers to solve real world problems using neural network techniques.
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