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.
通过指数法和人工神经网络方法的联合应用，相互比较得到科学、准确的风险评价结果。
Through the union application of the index method and artificial neural network method, relatively received science, accurate result of appraisal of risk each other.
本文提出一种基于BP神经网络的预算绩效考核模型，为高校科学预算管理提供一种新的思路。
This paper presents a budget based on BP neural network performance evaluation model for university science and budget management to provide a new way of thinking.
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.
讨论了应用生命科学进行材料疲劳损伤的几种研究方法，包括神经网络、瞬态能量输入。
By the application of life science, several kinds of studying methods, which include neural networks and input of transient energy, for carrying out the fatigue damage of materials were discussed.
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。
Artificial Neural Network(ANN) is a new science of information processing. It acts as a transition from conventional information processing to human brain.
针对信息科学和控制理论中经常涉及的一类泛函极值问题，提出基于连续回归神经网络的求解方法。
In this paper, the continuous time recurrent neural network is proposed to solve the functional minimization problem, which is often involved in estimation and control.
几十年来，非线性差分方程理论已广泛应用于计算机科学、经济学、神经网络、生态学及控制论等学科中出现的离散模型。
In the last decade, nonlinear difference equation theory has been widely applied in the discrete models of computer science, economy, neutral net, ecology and control theory.
人工神经网络技术广泛应用于复杂系统的建模中，已成为材料科学研究中常用的建模方法。
Artificial neural network (ANN) is widely applied to the modeling of complex systems, and now it has become a common modeling method in the study of materials science.
神经网络是一个非线性动力学系统，在许多方面都表现出强大的生命力，特别为信息科学界所瞩目。
Neural Network is a non linear dynamics kinetics system, which can do a lot of complex jobs, especially in information science.
提出分形上的混沌动力系统以及混沌与神经网络相结合的方法，可为水科学问题的研究能提供一些新的思路。
Finally, we suggest that the fractal chaos dynamical system and the mean of combining chaos with neural net provide several new methods in the future studying.
网络组织的研究视角包括经济学视角、复杂性科学视角、神经网络学视角、商业生态学视角。
The research Angle of net organization includes the Angle of economics, complexity science, nerve network and business ecology.
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.
然而，神经网络与大脑有很大的相似性，因此从神经科学中借用了大量的术语。
However, neural networks have a strong similarity to the biological brain and therefore a great deal of the terminology is borrowed from neuroscience.
本文着重研究了人工神经网络在商业银行经营风险监测预警系统中的应用，旨在为监测预警提供更为科学可靠的理论依据。
The objective of this paper is to offer an academic base which can make monitor and prediction system become more scientific and practical.
神经网络方法在石油科学中的应用研究，具有重要的理论和现实意义。
It is certain that the research for the application of ANN in petroleum science is important in terms of theory and practice.
BP神经网络是一种涉及计算机科学、生物学、认识科学、物理学和数学等多门学科的一门崭新信息学科。
BP neural network is a very new subject. It consists of computer science, biology, recognition science, physics, mathematic and others.
采用了深基护坡土层锚杆拉固工程设计的神经网络新方法，提高了设计的科学化和智能化水平，从理论方面进行了分析和论证。
By adopting a new nerve net method in anchor construction design of deep foundation pit revetment, scientific and intelligent level is improved. Analysis and demonstration are made from theory.
通过文献资料法，对现代科学技术尤其是神经网络在竞技体育中的应用进行了综述。
Using the methods of the documents and materials, this paper summarized the application of the modern technology especially Neural Networks to athletics sports.
近年来，神经网络的研究引起了各国科学家和企业家的高度重视，成为一门涉及面极广的交叉学科。
In recent years, the studies about neural net works is highly interested by the scientists and enterprisers all over the world, and becomes an interdisciplinary science covering many fields.
近年来，神经网络的研究引起了各国科学家和企业家的高度重视，成为一门涉及面极广的交叉学科。
In recent years, the studies about neural net works is highly interested by the scientists and enterprisers all over the world, and becomes an interdisciplinary science covering many fields.
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