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模拟神经网络
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  analog neural network
     Application Analysis of Analog Neural Network VLSI & Pulse Stream Technique on Fault Diagnosis
     模拟神经网络VLSI脉冲流技术在故障诊断中的应用分析
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     A analog neural network VLSI & pulse stream technique is presented. The technology can realize the hardware circuit of neural network model recognition and classify the fault samples directly.
     介绍了模拟神经网络 VLSI脉冲流技术实现神经网络模式识别硬件电路的方法 ,并且直接将故障分类。
短句来源
     Analog Neural Network Implementation for Solving Early Vision Problems
     求解初级视觉问题的模拟神经网络的实现
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     Direct Adaptive Control System of Super-heated Steam Temperature Based on Laguerre Analog Neural Network
     基于拉盖尔模拟神经网络的过热汽温直接自适应控制系统
短句来源
     First,a learning algorithm of the analog neural network was given on the basis of the digital orthogonal neural network. Then a parallel control method with the analog neural network and integrator was presented and was applied in the temperature control over electric heating dryers.
     首先在数字正交神经网络的基础上给出模拟神经网络的学习算法,然后提出模拟正交神经网络加积分的并行控制方法,并应用于电热干燥器的温度控制中。
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  “模拟神经网络”译为未确定词的双语例句
     Finally, we integrate fuzzy simulation, neural networks, and genetic algorithm to produce a hybrid intelligent algorithm in order to solve general fuzzy expected value models.
     最后将模糊模拟,神经网络,遗传算法相结合,设计出了求解复杂模糊期望值模型的混合智能算法。
     This paper presents an improved PFM (pulse frequency modulation) analogue neural network/pulse stream VLSI circuit for fault diagnosis to replace software-based fault diagnostics.
     为了改变传统的基于软件的故障诊断模式,发挥神经网络超大规模集成电路(VLSI)的优势,提出了一种用于故障诊断的改进脉冲频率调制(PFM)模拟神经网络脉冲流VLSI电路。
短句来源
     USING ARTIFICIAL NEURAL NETWORKS AS A DIAGNOSTIC TOOL FOR PUMP IMPELLER IMBALANCE FAULTS
     采用模拟神经网络诊断水泵叶轮不平衡故障
     ? An improved Pulse Frequency Modulation (PFM) neural network VLSI circuit for fault diagnosis is presented in order to change the softwarebased fault diagnosis approach and facilitate the merits of neural network VLSI circuit.
     为了改变传统的基于软件的机械故障诊断模式,以及发挥神经网络超大规模集成电路(VLSI)的优势,提出了一种用于故障诊断识别的脉冲频率调制(PFM)模拟神经网络脉冲流VLSI电路。
短句来源
     Artificial neural networks have been applied to signal processing and fault diagnosis since the 1980s.
     从80年代起,模拟神经网络就被用来给工艺发出信号和故障诊断。
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  相似匹配句对
     RESEARCHES ON THE STABILITIES OF ANALOG ELECTRONIC NEURAL NETWORKS
     模拟神经网络稳定性研究
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     Neural Net
     神经网络
短句来源
     Neural networks for rainfall runoff modeling
     神经网络模拟降雨径流过程
短句来源
     Summarizing of Neural Network
     神经网络综述
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     Simulation of distillation process
     精馏过程的模拟
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  analog neural network
In this paper we review our model for a DNA analog neural network, estimate the ultimate speed of DNA computations, present an enzymatic representation of DNA matrix algebra and show some exploratory experimental results.
      
Our analog neural network allows for supra-Turing power while keeping track of computational constraints, and thus embeds a possible answer to the superiority of the biological intelligence within the framework of classical computer science.
      
In contrast, if an analog neural network is used to maximize exactly the same objective function, the region of attraction of each maximum contains not only the associated "orthant" of the state space, but also some points not in this orthant.
      
A Mixed-Mode Analog Neural Network Using Current-Steering Synapses
      
Functional tests of a 0.6?μm CMOS MLP analog neural network for fast on-board signal processing
      
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A new method for analysing the stabilities of analog electronic neural networks is presented. The energy functions with clear and definite physical meaning are derived by introducing the static equivalent circuit models, which has expanded the Tellegen Theorem for application on circuit analysis. The method used to derive the energy functions of nets from first order differential equations is valid for all first order continuous autonomous systems. The stability analysis of cellular neural networks is made by...

A new method for analysing the stabilities of analog electronic neural networks is presented. The energy functions with clear and definite physical meaning are derived by introducing the static equivalent circuit models, which has expanded the Tellegen Theorem for application on circuit analysis. The method used to derive the energy functions of nets from first order differential equations is valid for all first order continuous autonomous systems. The stability analysis of cellular neural networks is made by the use of stationary cocontent theorem. Some results are instructive for the network implementation on circuits.

本文提出了模拟神经网络稳定性分析的静态等效模型,通过推广特勒根定理,从等效模型导出了物理意义清晰的能量函数。由一阶微分方程组求网络能量函数的方法普适于所有的一阶连续自治系统。文章并利用能量平稳原理对点格神经网络的稳定性质进行了讨论,得到了一些对于网络的电路实现具有一定指导意义的结果。

As an example for selecting the strengthening procedure of R. C multi-storey frame, the paper introduces analysis and judgement under given arbitary input combined condition, using simulation of neural network with computer and also gives the method for strengthening procedure.

以钢筋混凝土多层框架加固方案的选择为例,介绍了用计算机模拟神经网络对任意给定的组合输入条件进行分析判断,并给出加固方案的方法。

The behavioral description method for PSpice simulation of neural networks isproposed.This method allows a more flexible description of nonlinear electronic components interms of an instantaneous transfer function and can effectively simulate many kinds of neuralnets.Therefore,its performance is greatly superior to the other methods.Finally,somesimulation results for neural networks which solve analog-to-digital conversion and linearprogramming problems are also presented.

提出了在PSpice上模拟神经网络的一种新方法─—功能描述法.该法以传递函数的形式描述非线性神经元;它具有精度高、无动态范围限制、编程简单等优点,可有效地模拟多种神经元.通过对Tank-Hopfield神经网络实现的A/D转换器和线性规划电路的模拟,验证了该方法的有效性.

 
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