| 1. | In addition , we improved on conventional bp algorithm from the point of transfer function and networks structure
另外，笔者从激励函数与网络结构的角度对其进行了改进。 |
| 2. | We analyze global stability of a class of neural networks with discrete delays under three assumptions of activation functions
在对神经网络的激励函数的三个假设下，研究了具有离散时滞的神经网络的稳定性。 |
| 3. | The size of this network is greatly decreased and its learning algorithm is improved through optimizing wavelet neural cell exciting functions
通过优化组合小波基元激励函数，大大减小了小波神经网络的规模，改善了网络学习特性。 |
| 4. | Based on analyzing the multilayer perceptron neural network , it induces the error backpropagation algorithm while taking the hyperboloid tangential function as nonlinear activation function
在分析多层感知器神经网络的基础上，推导了双曲正切函数为激励函数的误差后向传播算法。 |
| 5. | Second by using liapunov direct method , two different sufficient global exponential stability conditions are obtained on condition that activation functions are lipschitz continuous
第二种是采用李雅普诺夫直接方法，在激励函数的lipschitz连续假设下，得到了两个全局指数稳定的充分性判据。 |
| 6. | Considering the principle of the mechanical admittance method in pile dynamic testing is to identify the pile ' s dynamic characteristic through measuring the excitation function and the response function at the head of it
考虑到桩基动测中导纳法是通过测定施加给桩的激励函数和桩的动态响应函数来识别桩的动态特性这一原理。 |
| 7. | Abstract : graph of excitation function can be expressed in the continuous time domain by using the superposition theorem , this method can also simplify process and avoid using the separate steps . it is explained by examples in the paper
文摘:用叠加原理表示连续时域内电路中的激励函数，可以避免分时域和分步讨论的麻烦，结合实例对该方法加以论述说明 |
| 8. | Wavelet analysis and neural network have been researched . based on bp neural network , analysing the features of the bp neural network ' s activation function and the structure of the bp neural network , wavelets neural network is constructed with wavelet function . fourier transform has a important role on signal processing , so the fourier transform is introduced . a function ' fourier transform is analysed . after introducing the concept of the wavelet analysis , a serval wavelet functions is given out , so the knowledge of wavelet analysis is better understood . the multiresolution analysis has a important role on constructing wavelet function and understanding the wavelet transform
小波分析和神经网络得到了广泛的研究，小波神经网络是在bp神经网络的基础上，考虑和分析了bp神经网络的激励函数的特点，以及bp神经网络的结构，结合了小波分析的知识而构造的。傅里叶变换在信号的处理起重要的作用，所以介绍了傅里叶变换、离散傅里叶变换和加窗傅里叶变换，并对一函数作离散傅里叶变换分析。 |
| 9. | The applications in fault signal classification and data compression of power system are studied and simulated . through the introduction of multiwavelet network , other two kinds of multiwavelet networks are proposed . the theorems for function approximation abilities of some wavelet networks and multiwavelet networks are proposed and proved
从理论上分析了小波变换和神经网络的函数逼近能力以及它们之间的内在联系，并且利用不同的激励函数构造相应的小波函数；对小波网络在电力系统故障信号分类和故障数据压缩方面的应用进行了研究和数字仿真；提出了另外两种不同的多小波网络，对一些小波网络和多小波网络的函数逼近能力，提出了相应的定理并进行了证明。 |
| 10. | Based on vibration principle , the paper establishes dynamics analysis model of output shaft with elastic support , according to fourer series spread principle of periodic function , the dynamic response formula is derived by separating complex vibration force into sum of many simple harmonic excitation function of whole number times frequency relations . the result shows that response of both sides support is synchronous when load distribution non - uniform coefficient is 1
依据振动理论建立了具有弹性支撑的输出轴的动力学分析模型，根据周期函数的傅里叶级数展开原理，将复杂的激振力分解成为多个频率成整倍数关系的简谐激励函数，导出了动态响应表达式，结果表明，当载荷分配不均匀系数为1 . 0时的输出轴两端支撑同步。 |
