• To determine the optical parameters of turbid media with an unpolarized backscattering light an oblique incidence geometry with the compound bp neural network has been designed.

    从无偏振混浊介质背向散射确定散射光学参数,设计倾斜入射的模拟光路以及用复合反向传播神经网络求解的方案。

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  • An optic fiber grating diffraction screen is developed by use of optical diffraction. Combining with computer neural network, a vision system for recognizing stereo shape is developed.

    利用光学衍射原理,研制成了光纤光栅衍射计算机神经网络相结合,开发了一种识别立体形状视觉系统

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  • 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模式两分法感知算法一种光学执行过程

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  • To determine the optical parameters of turbid media with an unpolarized backscattering light, an oblique incidence geometry with the compound BP neural network has been designed.

    从无偏振混浊介质背向散射确定散射光学参数设计倾斜入射模拟光路以及用复合反向传播神经网络求解的方案。

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  • A perfect shuffle type of free space optical intcrconnected multi-layer globally connected neural network module is firstly introduced.

    首先介绍一种洗牌自由空间互连多层全互连神经网络模型

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  • An incoherent optical system is proposed to implement fuzzy associative memory (FAM) neural network.

    本文提出一种模糊联想神经网络的非相干光学实现系统

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  • In order to overcome the error alarming and unintelligence of the automatic optical inspection(AOI) system for the solder joint inspection, a new inspecting method based on neural network is proposed.

    针对目前自动光学检测系统进行焊点检测时容易出现缺陷误报漏报,以及智能化程度不高问题,提出了一种基于神经网络检测方法

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  • After brief introduction of equipments of SZ stranding machine for optical fibers, this paper designs SZ stranding machine field bus control system based on fuzzy neural network.

    SZ合成缆设备组成简介基础上,设计基于模糊神经网络的SZ绞合成缆机现场总线控制系统

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  • A new method for processing output of surface roughness optical fibre sensor by radial basis function (RBF) neural network is presented in the paper.

    本文提出径向函数(RBF)神经网络处理表面粗糙度光纤传感器输出信号方法

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  • In this paper, a design of an all-optical multi-value neural network system for implementation of associative memory is presented.

    本文提出一种用于联想识别光型多值神经网络系统

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  • Optical implementation methods of one dimensional local interconnection neural network (LINN) for associative memory are proposed, and three optoelectronic system are discussed in this paper.

    本文提出局域互联关联存贮光学实现方法讨论了可用来实现局域互联网的三种光电混合系统

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  • Applying neural network to intensity compensation of optical fiber sensors, a method based on radial basis function network is proposed.

    神经网络应用于光纤传感器补偿,提出了一种基于径向函数神经网络的光强补偿方法

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  • Applying neural network to intensity compensation of optical fiber sensors, a method based on radial basis function network is proposed.

    神经网络应用于光纤传感器补偿,提出了一种基于径向函数神经网络的光强补偿方法

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