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Then, breifly introduced the arithmetic of the Multiple Linear Regression and artificial neural networks, built up the Multiple Linear Regression model and artificial neural networks model on this foundation, and forecast ice jam water level distinguishly under experiment condition and natural condition.

然后,简要地介绍了多元线性回归和人工神经网络的数学算法,在此基础上建立了多元线性回归模型和神经网络模型,并依此分别对试验条件下和天然条件下冰塞的水位进行预测。

Furthermore, the advantages of the genetic algorithm and the above single layer neural network are combined to yield a new identification technique. The network topology is employed to replace the procedure for solving the governing equation when GA is used to identify the system parameters of both the SDOF system and the MDOF system with or without noise contamination. The comparison is made between the predicted acceleration and the measured one for each case.

另外,结合类神经网路与基因演算法於结构动力参数识别,首先应用前述之单层类神经网路架构做为系统动力模式,再藉由基因演算法搜索符合该系统之权重值,然后将权重值代入网路架构以取代解微分方程式求得系统反应,最后再与量测反应做比较;同时亦利用该方法应用於进行识别含杂讯之输出入资料的系统权重值,以验证该方法应用於单自由度线性系统及多自由度线性系统识别之可行性。

The experimental results indicate that the LMBP neural network has higher classification rate, more rapidly converge velocity by comparing with other improved BP algorithm and the Radial Basis Function neural network. Through the experiments of recognizing the sonar image polluted with Gaussian noise, it is proved that the LMBP neural network has good stability and better anti-noise performance.

通过与标准BP算法和几种常用改进型BP神经网络以及径向基函数网络比较,验证了用LMBP神经网络作为声纳图像识别系统中的分类器,能够提高图像的识别率,加快网络的收敛速度,通过对受不同程度高斯白噪声污染的声纳图象的识别,验证了其性能稳定,具有较好的抗噪声性能。

Therefore an artificial nervenetwork with better effect of imminence should be designed so that it can be used in the field of technological innovation and achieve good results.

本文利用径向基函数神经网络这一技术手段,提出了基于径向基函数神经网络的技术创新风险评价模型,为技术创新项目的风险评价提出了一种新颖、高效的方法。

Muscle type AchR is an important medium of neuronal transmission and main immunogen of Myasthenia gravis,as well as some diseases were induced by the mutation of neuronal\|typed AchR.

肌肉型乙酰胆碱受体是肌肉神经传导中的重要媒介物质以及自身免疫疾病重症肌无力的主要免疫原,神经型乙酰胆碱受体的突变也可导致某些疾病的发生。

Using Wavelet neural networks, wavelet decomposition will constitute the basis function of the implicit function neurons.

详细说明:用小波构造神经网络,将小波分解的基函数构成神经的隐函数。

That has been found to be effective in the treatment of urge incontinence.

对腰骶部神经根的电极置入神经调节的方法是一种新的手术方式。目前显示该治疗方法可行有效。

The method of stimulating nerves with neural tiny electrode can cure infantile paralysis、splitting headache、blindness、deafness stubborn chronic ache and epileptic, and the doctors also need true neural signal to supply evidence for Pathology diagnosis.

运用神经微电极进行电刺激的方法正被用于治疗小儿麻痹症、帕金森综合症、失明、耳聋、顽固性慢性疼痛和癫痫病等顽固性疾病,而医生也需要获得真实的神经信号为临床诊断提供依据。

It takes advantage of QGA to optimize the initial data of the neural network.

用量子遗传算法优化神经网络检测信号的初始值,提出了基于量子遗传算法优化神经网络的MIMO系统信号检测方案。

The results of experiments show that the neural network algorithm solving differential equations with the initial value problem can establish mathematical model, which can be calculated any given point of function, which is any difference method can not do.

针对微分方程初值问题的求解,论文探索性研究了求解微分方程初值问题的神经网络模型算法,并分析了算法的收敛性,为神经网络学习率大小的确定建立了理论依据。

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