Chinese translation for "高阶神经网络"
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- higher order neural network
- Example Sentences:
| 1. | Research on higher - order neural networks 高阶神经网络模型特性研究 | | 2. | In this algorithm , author used two technology - the higher - order neural network of single _ layer and hierarchy 在这一算法中,作者运用了单层的高阶神经网络和分层方法。 | | 3. | The detailed works are as follows : the finding patterns problems in the time - series data sequence are described , and a new trend logic expression method is introduced , and its algorithm and experiment result of algorithm are given ; time - scries data are disposed , and using the arctg . slope of line as the sample of pattern recognition , so ignoring the aberrance of pattern in the classified . in addition , a new time - series pattern finding algorithm based on higher - order neural network is put forward 同时给出了本文的具体的工作,主要是:对在时序数据序列中发现模式问题进行了描述,并介绍了一种新的趋势逻辑表示方法,给出了其算法及算法的实验结果;对时序数据进行处理,提出了利用线段的斜率反正切值作为模式识别的样本,从而在分类时忽略模式的畸变;另外,还提出了一个新的基于高阶神经网络的时序模式发现算法。 | | 4. | The paper studies the existence and global exponential convergence of alomost periodic solutions for high - order neural networks involving variable delay by applying the theory of fixed point and differential inequality technique , some new criteria on the existence and global exponential convergence of almost periodic solutions are obtained 摘要利用不动点理论和微分不等式分析等技巧,研究了变时滞高阶神经网络概周期解存在性与全局指数收敛性,并且给出了一些新的判别准则。 | | 5. | Comparing with the other time - series pattern finding algorithm , this one has a few of innovations . firstly , improving time - series pattern finding algorithm from the classified accuracy . secondly , ignoring some aberrance of time - series pattern by the high - order neural network 同其他的时序模式发现算法相比较,具有几点创新: 1 )从分类精度的角度来改善时序模式发现算法; 2 )通过高阶神经网络,直接利用网络的特性忽略了时序模式的某些畸变; 3 )利用了分层方法,进一步改善分类精度。 | | 6. | Higher - order neural network of single _ layer has no trouble of hiding layer node , so training speed is fast ; ability of pattern classified increases ; the classification accuracy of pattern is improved without local optimality problem ; hierarchy can make training speed of each node neural network , and improve the classified accuracy of pattern 单层高阶神经网络没有隐含层节点的困扰,训练速度更快;模式分类能力更为强大;不存在局部最小的问题,模式分类精度更高;模式的不变性构建于网络结构之中等优点。分层方法能加快各节点神经网络的学习速度,也能提高模式划分精度。 |
- Similar Words:
- "高阶骑士" Chinese translation, "高阶求导" Chinese translation, "高阶区域特殊部位" Chinese translation, "高阶曲线" Chinese translation, "高阶扰动解" Chinese translation, "高阶适配" Chinese translation, "高阶数据链结控制" Chinese translation, "高阶数据链路控制" Chinese translation, "高阶双曲线" Chinese translation, "高阶算术级" Chinese translation
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