神经网络结构
- 网络Neural Network Structure;Neural Network Architecture
-
该算法框架具有较强的通用性,适合于TSP、顶点着色问题、Job-shop调度问题、神经网络结构优化问题、系统建模等一大类非数值优化问题。
This algorithm is all-purpose and it is fitted for traveling salesman problem , job-shop scheduling , vertex coloring problem , the optimization of the artificial neural network architecture and Modeling for Systems , etc.
-
研究适用于隐马尔可夫模型(HMM)结合多层感知器(MLP)的小词汇量混合语音识别系统的一种简化神经网络结构。
A simplified neural network architecture is presented . It is applicable to any small vocabulary hybrid speech recognition system that combines hidden Markov model ( HMM ) with multi-layer perceptron ( MLP ) .
-
BP神经网络结构与样本训练参数选取的初步探讨
Discussion about BP Neural Network Structure and Selection of Samples Training Parameters
-
对BP神经网络结构及BP算法进行了研究。
The thesis studies on BP Neural Network 's structure and BP algorithm .
-
神经网络结构分析与BP算法修正
Neural network structure analysis and BP algorithm modification
-
润滑油智能分析系统中BP神经网络结构的设计
Application of Genetic Algorithm in the BP Neural Network Structure Design of Intelligence Analysis System of Lubricated Oil
-
基于MDL的RBF神经网络结构和参数的学习
Learning the architectures and parameters of RBF neural network based on MDL
-
文章的最后,对BP算法的并行实现进行了分析,理论分析结果显示,多种神经网络结构都可有效地并行化。
An analysis of the parallel implementation of the BP algorithm is also presented . The theoretical analytic expressions show that the parallelization is efficient for many network architectures .
-
首先提出一种基于Agent封装的模糊神经网络结构,它能主动发现服务并进行自发互操作,多Agent之间能相互协调和协同工作;
A kind of new belief measure structure , called fuzzy-neural network structure under the encapsulation of agent is presented , which can discover service proactively and supply spontaneous interoperation in cooperation with multi-agents .
-
根据引信贮存可靠性的特点和BP神经网络结构,建立了引信贮存可靠性预计的神经网络模型;
In this paper , a neural network model is given for the reliability prediction of fuze storage according to the feature of the fuze storage reliability and the architecture of BP neural network .
-
在瑕疵分类方面,本文采用了基于前馈神经网络结构式(BP)的自学习算法,实验结果表明,这种方法可以有效地提高分类效果,使之符合用户的需求。
To classify the defects effectively , a novel learning method based on BP is employed . Experiments shows that the proposed approach efficiently improves the result of classifying and well fulfills the users requirement .
-
由于它采用全互连神经网络结构,易于并行计算和VLSI实现,从而可满足军事上实时处理的需要。
Owing to adopting network structure , the algorithm is prone to parallel computation and VLSI design , and consequently can satisfy real time military processing needs .
-
RBF网络模拟人脑中局部调整和相互覆盖接收域的神经网络结构,是一种局部逼近网络,它可以以任意精度逼进任意连续函数。
RBF network is a structural simulation of local regularization and mutual overcast in human brain . With local approximation characterize , it can approximate arbitrary continuous function with arbitrary precision .
-
随后确定了BP神经网络结构的层数(输入层、输出层、隐层)和各层的节点数,从而完成了BP神经网络结构模型的设计。
Then determine the structure of BP neural network layer ( the input layer , hidden layer and output layer , each layer ) the number of nodes , thereby completing the structure of BP neural network model design .
-
本文针对以上问题提出一种依据测量数据自动获取模糊规则的方法,并给出了一种能够有效描述模糊规则可解释性的模糊RBF神经网络结构。
This thesis aimed at above problems puts forward an approach of fuzzy rules automatic extraction according as measure data and propose a RBF net structure , which can be good for description the fuzzy rule interpretable characteristic .
-
讨论了动态神经网络结构及其算法,然后利用所设计的动态神经网络对杜芬(Duffing)方程和一实际结构在不同输入条件下的响应进行预测。
This paper discusses the structure and algorithm of dynamic neural network , and use this dynamic network to predict the response of Duffing equation and a real structure in different input conditions .
-
提出了一种直接控制的自适应神经元模型和神经网络结构,以及一种快速学习算法(FLA),并把该神经网络和算法用于驼峰速度控制系统。
A class of neural networks containing direct controlled adaptive neuron and the corresponding fast learning algorithm method are proposed for developing this new humping speed control system .
-
仿真结果表明,由于系统参数得到调整,对于同一问题,改进IPL算法得到的径向基神经网络结构较一般算法得到的网络结构简单,输出结果也较为精确。
The simulation results showed that the new algorithm can induce a simpler network structure than the former algorithm , and the output of the new IPL inducing network is more accurate than before .
-
前端采用3层BP神经网络结构,以传感器接收数据为输入,以神经网络输出作为证据,后端对不同传感器的证据按D-S理论进行融合,得到待识别目标的识别概率。
Firstly , adopt 3 layer neural networks , data of sensor as input of neural networks , output of neural networks as evidence , secondly , according to D-S theory to fuse the evidences of different sensors , finally , obtaining probability of recognition to aircraft .
-
采用MLP实现MCE训练中的分类损失计算,从而将MCE训练过程与MLP分类器设计统一在一个神经网络结构中,通过BP算法予以实现。
This paper proposed that the classification losses are calculated by multi-layer perceptrons in MCE training . So , MCE training can be incorporated with MLP classifier design in an integrated neural network structure , and realized by means of an effective error back-propagation ( BP ) algorithm .
-
用于大工业过程建模的新型小波神经网络结构
New architecture of wavelet neural network for modeling large-scale industrial processes
-
一种新型模糊神经网络结构确定的研究
Study on Determination of the Structure of an Improved Fuzzy-Neural Network
-
混合语音识别系统的一种新的简化神经网络结构
A Simplified Neural Network Architecture for a Hybrid Speech Recognition System
-
单刚矩阵计算用神经网络结构的实验确定
Experimental Determination of the Structure of NN for Stiffness Matrix Computation
-
模糊聚类分析在模糊神经网络结构优化中的应用
Fuzzy Clustering Analysis for Optimizing the Structure of Fuzzy Neural Network
-
基于神经网络结构学习的知识求精方法
A knowledge base refinement method based on structural learning of neural networks
-
基于样本曲率的模糊神经网络结构学习算法
Samples Curvature Based Algorithm for Fuzzy Neural Network Structure Learning
-
多输入模糊神经网络结构优化的快速算法
Fast Learning Algorithm of Small Multi-input Fuzzy Neural Network Structure
-
径向基函数神经网络结构的混合优化策略
Hybrid optimization strategy for radial basis function neural network structure
-
为此提出了一个适合于重复作业应用的分布式神经网络结构。
A distributed neural network structure along a demonstrated trajectory is proposed .