1) multiweights network
多权网络
1.
Aiming at multiweights network, this paper presents an algorithm for the shortest path problem with constraints.
针对多权网络 ,给出一个带有限制条件的多权最短路径算法 ,该算法按字典序生成从源点到目标顶点的满足限制条件的最短路
2) multi-weights neural network
多权值神经网络
1.
In this paper, a novelspeech emotion recognition, that is speech emotion recognition based onmulti-weights neural network (MWNN.
针对这个问题，本文提出了一种新的语音情感识别方法——基于多权值神经网络的语音情感识别。
3) multi weighted value function neural network
多权值函数神经网络
1.
Takes the safe application of the intelligent mobile phone as its carrier,integrates the advantages of PCA and multi weighted value function neural network for face identification,makes use of nonlinear multi weighted value function neural network to refine multi components,and multi weighted value function neural network face identification.
该文以高端智能手机的安全应用为载体,结合主元分析法和多权值函数神经网络在人脸识别中的优势,利用非线性多权值函数神经网络实现多主元提取,以及多权值函数神经网络识别。
2.
This paper takes the safe application of the intelligent mobile phone as its carrier,integrates the advantages of PCA and multi weighted value function neural network for face identification,makes use of nonlinear multi weighted value function neural network to refine multi components and achieve face identification.
以高端智能手机的安全应用为载体,结合主元分析(PCA,Principle Component Analysis)法和多权值函数神经网络在人脸识别中的优势,利用非线性多权值函数神经网络实现多主元提取,以及多权值函数神经网络识别。
3.
This paper takes the safe application of the intelligent mobile phone as its carrier,integrates the advantages of PCA and multi weighted value function neural network for face identification,makes use of nonlinear multi weighted value function neural network to refine multi components,and multi weighted value function neural network face identification.
以高端智能手机的安全应用为载体,结合主元分析(PCA Principle Component Analysis)法和多权值函数神经网络在人脸识别中的优势,利用非线性多权值函数神经网络实现多主元提取,以及多权值函数神经网络识别。
4) villagers reorganization
多核心权力网络结构
6) weighted network
加权网络
1.
Lag synchronization of spatiotemporal chaos in a weighted network with ring connection
环形加权网络的时空混沌延迟同步
2.
There are two main methods for constructing weighted networks: static and dynamic.
形成加权网络的方法有2类:静态和动态方法,以往的研究中并没有对2种方法进行比较分析。
补充资料：因侵害姓名权、肖像权、名誉权、荣誉权产生的索赔权
因侵害姓名权、肖像权、名誉权、荣誉权产生的索赔权：公民、法人的姓名权、名称权，名誉权、荣誉权、受到侵害的有权要求停止侵害，恢复名誉，消除影响，赔礼道歉，并可以要求赔偿损失。
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参考词条