深度学习是指训练多层的人工神经网络的方法。
Deep learning refers to the method of training multi-layer artificial neural networks.
提出一种关于多层前向神经网络结构的混沌优化设计方法。
The optimization design method is proposed for feed-forward neural network structure by means of chaos ergodicity and randomicity.
介绍一种用循环多层感知器神经网络实现符号逻辑推理系统的方法。
A method of implementing symbol logic inference system using recurrent multilayer perceptron neural networks is presented in this paper.
研究用多层前向神经网络求解六自由度摇摆台位置正解的方法。
A method based on the neural network for the forward kinematics solution of Stewart platform is studied.
本章讨论了利用多层二次神经网络计算配电网线损的方法，其精确度远远高于常规的回归分析法。
The paper presents the method of calculation of distribution loss using neural network MLQP. The precision of this method is much higher than of normal regression analysis method.
本文分析了目前文献中研究较多的基于多层前馈网络的谐波电流检测方法的基本原理。
This paper analyzes the basic principles of the harmonic detection method based on multilayer feedforward neural networks, which has been studied extensively at present.
为了更好满足谐波测量的实时性和测量精度，我们进一步研究了基于多层前馈神经网络在谐波测量中的方法。
In order to improve the real-time and precision, the methods with multi-layer feed-forward neural networks are investigated more.
提出了一种利用多层前馈神经网络生成纹理图象的新方法。
In this paper, a new method to generate the texture image by use of Multi layer feed forward neural network is presented.
从某类可以被多层BP神经网络建模的非线性系统出发，给出一种控制方法。
In this article, the authors introduce a method of controlling certain types of nonlinear dynamical systems whose dynamics can be modelled by a multilayer BP neural network.
基于进化规划(EP)方法，该文提出了设计多层前向网络拓扑结构和权值分布的一种新算法—EPANN算法。
Based on evolutionary programming, a novel algorithm named EPANN for designing the topology and weight distributions of feedforward networks is proposed in this paper.
提出一种在小样本的情况下，基于多层贝叶斯网络的医学图像语义建模方法。
A semantic modeling approach for medical image semantic retrieval based on hierarchical Bayesian networks was proposed, in a small set of samples.
应用网络模型对多层多室建筑火灾烟气运动过程进行数值模拟，介绍了网络模型的基本方法、网络模型的关键技术处理。
In this paper, we simulated smoke spread of multi layer and multi room building fire using network model and introduced the basic theory, methods and some key technologies of network simulations.
用前馈多层神经网络方法研究了高聚物的热力学性质。
The thermodynamical properties of polymers are studied using a BP artificial neural network model.
同时将所建立的模型与以往回归方法建模进行了比较，可以看出多层前馈神经网络要优于回归方法建立的模型。
At the same time, comparing the model with traditional model by regression method, we obtained that the former is better.
双螺旋问题不仅使统计方法受到挑战，更使人们对一般前向多层神经网络的能力提出疑问。
Not only does the two spiral problem give a challenge to the statistic methods again, but also brings a doubt about the abilities of the general feedforward multi layered LBF neural networks.
提出了径流长期分级预报的人工神经网络方法，给出了多层前馈网络的联合梯度算法。
An artificial neural network method is proposed for hydrological forecasting, the hybrid gradient method for multilayer feedforward neural network developed.
在结合数据融合和数据挖掘的医疗监护模型的建模方面，采用多层感知器网络和决策树方法建立报警决策器的模型。
For modeling of medical ward based on data fusion and data mining, multi - layer perceptron network and decision trees are used.
提出了一种多层网络拥塞控制方法，该方法基于流体模型的微分方程设计多层网络拥塞控制。
In this paper, we present a network congestion control method in multilayer network with differential equations fluid model.
文章提出了一种应用人工神经网络进行入侵检测分类器设计的新方法，即采用多层前向网络的交叉覆盖算法进行入侵检测分类器的设计。
A new method of designing the classifier for intrusion detection is proposed based on neural networks, which is the alternative covering algorithm of multi-layer neural networks.
将分形计算维数概念与多层感知器神经网络结合，建立了机械设备的分形神经网络诊断方法。
Combining fractal calculating dimension with multi layer neural network, a diagnosis method named as fractal neural network is built.
依据BP神经网络系统能够利用人工智能的方法，准确分析多变量非线性系统的特性，采用多层向前BP神经网络系统建立起了橡胶老化预报模型。
Based on characteristics of BP neural network which can precisely analyze multi-variable nonlinear systems using artificial intelligence, in this paper, we proposed model for predicting rubber aging.
为确定多层人工神经网络的权值和阈值建立了混合求解方法，即迭代前期采用BP算法而迭代后期采用梯度优化法进行计算。
Mixed method is built to calculate the weights and thresholds of multi-layer neural network by utilize BP algorithm and terraced optimizations.
为确定多层人工神经网络的权值和阈值建立了混合求解方法，即迭代前期采用BP算法，而迭代后期采用梯度优化法进行计算。
Mixed method was built to calculate the weights and thresholds of multi-layer neural network by utilize BP algorithm and terraced optimizations.
针对多层前馈网络的误差反传算法存在的收敛速度慢，且易陷入局部极小的缺点，提出了采用微粒群算法（PSO）训练多层前馈网络权值的方法。
The particle swarm optimization(PSO) algorithm, is used to train neural network to solve the drawbacks of BP algorithms which is local minimum and slow convergence.
梯度下降算法是训练多层前向神经网络的一种有效方法，该算法可以以增量或者批量两种学习方式实现。
Gradient descent algorithm is an efficient method to train FNN, and it can be realized in batch or incremental manner.
为了优化用于故障分类的多层前馈网络结构配置，提出了一种基于模糊逻辑的优化方法。
In order to optimize the design of MLP network structure for fault classification, an optimum approach based on fuzzy logic is presented.
“多层非线性神经网络技术”是目前研究气烟囱比较有效的方法。
Multi-layered nonlinear neural network is now an effective technology for gas chimney research.
本文基于多层神经网络计算模型 ，提出了一种新的飞机主要参数的估算方法 ，并给出了实现这种方法的详细步骤。
This paper chiefly describes the structure, the working principle and main parameters' design process of XL1000 fine coal centrifuge.
本文基于多层神经网络计算模型 ，提出了一种新的飞机主要参数的估算方法 ，并给出了实现这种方法的详细步骤。
This paper chiefly describes the structure, the working principle and main parameters' design process of XL1000 fine coal centrifuge.
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