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Home > chinese-english > "多层神经网络" in English

English translation for "多层神经网络"

multilayer neural network
Example Sentences:
1.Robust adaptive control based on multi - layer neural networks
基于多层神经网络的鲁棒自适应控制
2.Computing vibrational modal parameters by neural network
基于前馈多层神经网络的振动模态参数计算
3.Adaptive media playout based on multiplayer neural network control
基于多层神经网络控制的动态自适应播放
4.Artificial neural networks have mighty learning ability . after being properly trained , the multiplayer networks are capable of approximating any nonlinear functions with any precision . therefore it has become a powerful tool in nonlinear system identification field
人工神经网络具有很强的学习能力,经过训练的多层神经网络能以任意精度逼近非线性函数,因此为非线性系统辨识提供了一个强有力的工具。
5.In the paper , based on the existing literature research foundation an analog circuit catastrophic fault location approach by using feedforward networks with back ? propagation learning is realized . by this approach , the simulation require ments before test are reduced because fewer training samples are needed , and the fault location process is fast . this method is very efficient in location of single hard fault wit component tolerances . the measureme nt space feature and the general characterization concept of single and double soft fault in linear circuits are presented . according to this concept , a linear circuits soft fault location approach using subhidden layer bpnn is established with element tolerance , and it is shown that this approach is successful in fault location . a double fault feature extraction . ,
本文在现有文献理论研究的基础上实现了采用bp算法前向多层神经网络对直流测试下模拟电路硬故障的诊断方法。其特点是采用少量典型特征样本作为bp网络的训练样本,获得训练样本的代价小,减少了测前工作量,同时诊断速度快,在考虑元件容差时仍有好的诊断效果。文中介绍了线性电路单一软故障和双软故障所具有的电压增量空间特性和统一特征概念。
6.There are mainly two parts in this thesis : firstly , by using the features and capability of mnns1 ( multi - layer neural networks ) approximating nonlinear functions , based on the principle of sliding mode control and the theory of lyapunov stability , two new kinds of control schemes are proposed and analyzed
本论文主要分为两大部分。第一部分主要运用多层神经网络所具有独特的逼近非线性函数的特性和能力,针对一类不确定非线性siso动态系统,基于滑模控制原理和lyapunov稳定理论,设计并分析了两种控制方案,最后经过严密的证明,保证了闭环系统的渐近稳定。
7.423 persons answered the questionnaires and 139 out of them were identified as ecotourists . the result of classification is proved to be effective by prediction validity test , content validity test , theory validity test and convergence validity test . in addition , the ecotourists were classified as hard ecotourists , frequent ecotourists and occasional ecotourists farther according to the times they traveled to nature - based destinations every year and their new ecological paradigm grade which is used to evaluate the visitors attitude to environment . frequent ecotourists and occasional ecotourists both fall category of soft ecotourists , so the " hard - soft " classification system is founded , which will help propel ecotourist studies in china to develop towards the current international mainstream of the field
以北京市百花山自然保护区为例,在总结国外相关研究经验的基础上,采用k阶最近邻knn和反向传播bp前馈型多层神经网络所构成的综合分类器对百花山游客中的生态旅游者进行识别,又根据“每年去相对原始的自然区域的旅游次数”和环境态度尺度nep得分两项指标将生态旅游者进一步细分为严格的生态旅游者经常的生态旅游者和偶尔的生态旅游者,其中经常的生态旅游者和偶尔的生态旅游者归为一般的生态旅游者,从而构建起严格的一般的生态旅游者分类体系。
8.This article uses the model of bp neural networks , proposes the forecasting model of neural networks in combination with the characteristics of field emission cold cathode , and applies the data of threshold electric field of diamond thin film to test . the results show that the relative error of the model is within 6 . 6 % and the model possesses good forecast characteristics through simulation and imitation
利用前馈多层神经网络模型,结合薄膜场发射的特性,建立了场发射开启电场的神经网络预测模型,并用金刚石薄膜的开启电场数据样本进行验证.结果表明,该模型预测的相对误差小于6 . 6 % ,具有很好的预测性能
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