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Secondly, A MFNN-based nonlinear optimizing controller is designed, which is based on a generalized least squares control cost function.

二、基于广义最小方差控制目标函数,设计了一种基于多层前馈神经网络的非线性优化控制器。

To support secure group communications in resource constrained wireless sensor networks, We propose an efficient and scalable key management scheme which only uses symmetric cryptographic algorithms and hashing function. This scheme can achieve forward and backward security.

为了在有限资源的无线传感器网络能安全进行群组通讯,本文只使用对称加密算法和单向哈希函数提出了一种具有有效性和扩充性的组密钥管理方案,并可满足前向和后向安全性。

Orthogonal grid ; mathematical model ; river regime ; Hermite function ; boundary layer ; SIMPLER algorithm

正交网络;数学模型;河势; Hermite函数;边界层; SIMPLER算法

Proofs that when iterating with the BP algorithm, if one of the neural units fall into saturation regions at least, and the other one at least don't, then the condition number of the Hessian matrix of the error function is very larger.

证明了BP算法在迭代过程中,如果至少有一个神经元落入饱和区而同时至少有一个没落入饱和区,则目标函数的Hessian阵的条件数变大,这是导致"网络瘫痪"现象的原因,也是BP算法收敛速度慢的主要原因。

Based on the concept of zero-path tracking in homotopy which is generalized into minimum of energy function path tracking and considering that different homotopy path has greater impacts on convergence speed, a new method is put forward——the non-line homotopic BP algorithm.

本文在将同伦论中的零点路径跟踪概念推广到对多层前馈神经网络能量函数极小点路径跟踪的基础上,注意到不同的同伦路径对收敛速度的影响,提出了一种改进算法——非线性同伦BP算法。

The paper introduces the principle of the thrust hydraulic system of telescopic shield tunneling machine,and build the modle of hydraulic system in AMESim environment,basis the fact to optimum design the relevant parametre,considering the system s time-change,non-linear and the affect of complex operating contion,adopting the control alforithm of RBF Neural Network Self-tuning PID.

该文介绍了双护盾掘进机推进系统的工作原理,在AMESim环境下建立了液压系统的模型,根据实际情况对相关参数进行了优化设计,考虑到系统的时变非线性以及复杂工况的影响,采用了基于RBF神经网络自整定PID控制算法,在 MATLAB下编写了相应的S函数,通过AMESim/Sinulink与AMESim进行联合仿真分析。

In this paper, two types of transport models widely used for water and salinity in soils are introduced; one is physical models, which include convection-dispersion Equation, stream tube model and HYDRUS developed by US Salinity Laboratory. At the same time, the parameter research is related to physical models. Another is system models, such as Transfer Function Model and BP-Network model. The resemblances and the differences among these modeling are compared and analyzed.

介绍了国内外目前应用较为广泛的几种水盐运移模型,包括对流-弥散模型、流管模型和美国国家盐渍土改良中心开发的HYDRUS模型等3种物理模型以及相关的模型参数研究;两种系统模型:传递函数模型和BP人工神经网络模型。

In this paper, we use Extended Cabor Function of simple cells as the basic functional units to have successfully set up a mathematical model of neural network, with the properties of overlap-formed receptive fields and of comparative operation, explaining hyperacuity.

本文用简单细胞广义Gabor函数为基本功能单元,以Marr提出的计算理论为框架,建立了一个感受野重叠的,具有比较运算性质的、可解释超视锐度现象的神经网络数学模型。

On the basis of variation characteristics of ship speed error model, a ship speed regulator using the on-line adaptive error model is proposed in this paper. The control scheme is based on back propagation multi-layer perceptrons adaptive neural network in which a modified hyperbolic tangent function is used as the activation function of an auto-tuning neuron and is updated by the steepest descent method.

在分析船舶航速误差模型变化特性的基础上,应用激励函数的自适应神经网络和最陡下降法的非线性优化技术,提出了自适应学习误差模型控制方法,应用于船舶柴油机调速器控制系统。

Based on artificial immunology and genetic algorithm, a hybrid algorithm to design the RBF network is proposed.

基于人工免疫机制和遗传算法,提出了一种训练径向基函数网络的混合算法。

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