self-feedback造句
例句与造句
- Control of chaos by adaptive delayed self - feedback scheme
自适应延时反馈控制混沌方法 - Study of the impulsion frequency of self - feedback hydraulic impulsion tool
自反馈式水下液压冲击器冲击频率的确定 - This thesis is composed of two chapters . the first chapter deals with one kind of two - neuron neural networks with positive self - feedback coefficient . in chapter 2 , we discuss the simular system with negative self - feedback coefficient
本文分两章，第一章讨论自反馈系数均为正的双阈值的二元神经网络模型( ) ，第二章讨论自反馈系数均为负的双阈值二元神经网络模型( ) 。 - The results show that , when and 02 are in various intervals , the trajectories for systems ( i ) are either ultimately periodic or convergent to an equilibrium . the difference between system ( i ) and system ( ii ) only lies on the sign of self - feedback coefficient , but their asymptotic behavior of trajectories are much different . for the given initial value , the solutions for system ( ii ) all converge to the certain equilibrium
结果表明：当_ 1和_ 2在不同的取值范围内，系统( )的解或收敛到某一平衡点，或无限逼近于某个周期解，且部分_ 1 ， _ 2下的极限环全局稳定；系统( )与系统( )的区别仅在于自反馈系数的符号为负，但由此其解轨线的极限性态发生了很大的变化，对于确定的初值，系统( )的解均收敛到确定的平衡点。 - It requires students determine goals , make plans , and prepare details before learning activities , do self - monitor , self - feedback , and self - regulation according to the learning processes and learning strategies in the learning activities , make self - check , self - summarization , and self - evaluation to learning results after learning activities
它要求学生在学习活动前能自己确定目标、制定学习计划、做好具体的学习准备；在学习活动中能够对学习进展、学习策略做出自我监控、自我反馈和自我调节；在学习活动后能够对学习结果进行自我检查、自我总结和自我评价。 - It's difficult to find self-feedback in a sentence. 用self-feedback造句挺难的
- A new recurrent neural network structure , self - feedback diagonal recurrent neural networks ( sdrnn ) , is also designed in this chapter . the learning algorithm of sdrnn is given and the convergence of this algorithm is proved . the simulation results show the validation of the structure and the learning algorithm
在局部递归神经网络结构方面，提出了一种递归神经网络结构? ?自环对角递归神经网络结构( sdrnn ) ，给出了相应的学习算法，证明了算法的收敛性，并进行了仿真实验。 - But all the models of neural networks before are assumed that self - feedback is linear which can not reflect the essentiality of the neural networks . so in chapter two of this paper , the self - feedback is improved and can be nonlinear . moreover , basic features of this kind of neural networks are investigated
但是以往所提出的该类神经网络模型都假设自反馈项为线性的，不能真实的反映其本质，所以在本文的第二章将对原有的动态神经网络模型进行推广，并研究推广模型的一些基本特性。 - First by introducing nonlinear measures , the existence , uniqueness and global exponential stability of the equilibrium point of this kind of neural networks are investigated . two different lipschitz continuous activations are considered . some sufficient conditions and convergence estimate for global exponential stability of neural networks are obtained on condition that self - feedback is nonlinear
第一种是通过引入非线性测度的概念，分别对激励函数采用了两种不同的lipschitz连续假设，给出这两种不同连续假设下神经网络系统的全局指数稳定性条件，并分析其指数收敛率。
