feedforward neural network中文是什么意思

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中文翻译
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前馈神经网络

feedforward network 前馈网络
neural network 【计算机】模拟脑神经元网络〔一种模拟人脑神经细胞的电脑系统〕。
alternating projection neural network 交替投影神经网络
ann artificial neural network 人工神经网络
articificial neural network 类神经网络
artificial neural network 类神经网路; 人工神经网络
artificial neural network (ann) 类神经网络
artificial neural network system 人工神经元网络系统
biological neural network 神经网络
chaotic neural network 混沌神经网络
cnn cellular neural network 蜂窝神经网络
cnn computational neural network 计算的神经中枢网
connectionist neural network 连接机制神经网络
european neural network society 欧洲神经网络学会; 欧洲神经元网络
feed-forward neural network 反向传输神经网络
fnn fuzzy neural network 模糊神经网络
fuzzy neural network 模糊神经网络
fuzzy-neural network 模糊神经网络
higher order neural network 高阶神经网络
hnn hybrid neural network 混合神经网络
hopfield neural network 霍普菲尔德神经网络
ieee neural network council ieee神经网络委员会
japanese neural network society 日本神经网络协会
knowledge and neural network 知识和神经网络
mp neural network mp神经网络

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例句与用法

The main contribution and creativeness result of this dissertation are summarized as follows : firstly, the basic theory of feedforward neural networks is reviewed
信息的共享存储和安全管理变得更为重要，因而产生了存储区域网(storageareanetwork,san)。
To make neural network more robust, a novel robust estimation function is proposed to improve the feedforward neural network according to the theorem of statistics
为使神经网络更加稳健，本文根据统计学原理，在前馈神经网络基础上，采取稳健估计方法改进神经网络。
A novel class of layered feedforward neural network models for function approximation was proposed based on the principle of multi-dimensional discrete fourier transform
摘要利用多维离散傅立叶变换原理构造新颖的神经网络模型用于函数逼近，网络结构为分层前向网络。
To investigate generalization capability of feedforward neural networks; the influencing factors of generalization capability of feedforward neural networks are analyzed according to function theory
摘要针对前向神经网络泛化问题，从函数论的角度分析了影响前向神经网络泛化性能的因素。
To investigate generalization capability of feedforward neural networks; the influencing factors of generalization capability of feedforward neural networks are analyzed according to function theory
摘要针对前向神经网络泛化问题，从函数论的角度分析了影响前向神经网络泛化性能的因素。
(3 ) distriction increasing for detecting bruise image of tomato was builttraining multilayer feedforward neural networks with bp for detecting tomato bruise and classification was built, and testing precision reached 90 %
(3)建立用区域增长法进行番茄表面缺陷区域检测，用bp算法训练的多层前馈神经网络对番茄的损伤进行分类。
Though double parallel feedforward neural networks ( dpfnn ) has been successfully used to classify the multispectral images, the generalization performance of dpfnn has not been studied until now
双并联前向神经网络（doubleparallelfeedfo。rdneuralnetworks一dpfnn）已成功应用于多光谱数据分类，对其推广性的研究具有十分重要的意义。
The learning algorithm of neural network has always been an important problem in both research and application fields of artificial neural networks, especially to the study of the learning ( design ) of feedforward neural networks
神经网络的学习算法一直是人工神经网络研究和应用领域中的一个重要问题，尤其是对前向神经网络学习算法(设计)的研究。
The latest progress in independent component analysis ( 1ca ) is reviewed systematically, then two novel classes of multiuser detection methods based on ica algorithms and feedforward neural networks are proposed
系统地评述了独立分量分析(ica)的新近进展，分析了各算法的特点，并且在此基础上提出了两类基于ica算法和前馈神经网络结构的多用户检测方法。
By using the universal approximation property of neural networks ( nn ), a three-layer feedforward neural networks is embedded into the framework of standard pls ( partial least squares ) modeling method resulting in a nonlinear pls-nn model
提出将线性pls模型通过神经网络逼近策略拓展到非线性的pls-nn方法，构造了基于梯度下降算法的神经网络权值矩阵学习规则。

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Last modified time:Sun, 10 Aug 2025 00:29:56 GMT