基于在线神经网络设计了无人机着陆飞行自适应逆控制器。
A self adaptive inversion controller for UAV landing based on on-line neural network is designed in this paper.
一个良好的激活函数的选择是对的神经网络设计的重要组成部分。
Selection of a good activation function is an important part of the design of a neural network.
改进了现有的基于脉宽调制(PWM)技术的VLSI神经网络设计方式。
The existing VLSI neural network design method based on the pulse width modulation (PWM) technique is modified in this paper.
提出一种新的模块化进化神经网络方法，用于大规模或复杂问题的神经网络设计。
Inspired from modular programming, we proposed a module based evolutionary programming of ANNs, which puts emphasis on inheriting from the learned networks of small scale problem.
针对一类多输入多输出非仿射非线性系统，基于神经网络设计了一种自适应控制方案。
A novel adaptive control method based neural network for a general class of MIMO non-affine nonlinear system was proposed, which are implicit function with respect to control input.
基于进化算法可有效解决神经网络设计和实现中存在的一些问题，使网络具有更优的性能。
Design and implementation of artificial neural networks based on evolutionary computation can lead to significantly better network performance.
介绍了异步电动机直接转矩控制系统中状态选择器的一种新型设计方法—神经网络设计方法。
A new design method of state selector in asynchronous machines direct torque control system-neural networks design method is introduced.
设计的观测器不仅能实现故障检测，而且应用神经网络设计的故障估计器能在线估计系统中的故障向量。
The nonlinear observer can not only detect fault, but also realize the fault diagnosis. It is proved that the scheme has good robustness against modeling error and uncertainty.
采用非线性反馈控制电流内环，用RBF(径向基函数)神经网络设计了神经网络控制器控制输出电压外环。
Employing a RBF (radical basis function) neural network, a neural network controller is proposed for the output voltage control of the Buck - Boost converter.
在神经网络设计中，采用了变尺度优化算法，提高了算法的速度和精度，对空战的实时应用提供了重要的参数价值。
In the design of neural network, optimizing algorithm of DFP is used and reference value for real time application in aerial combat is provided.
文中介绍了目前使用的几种不同的人工神经网络设计算法：BP算法、FP算法、多层前向网络的交叉覆盖设计算法。
The thesis introduces some ANN design algorithms, which are BP algorithm, FP algorithm, alternative covering design algorithm of multi-layer neural networks.
针对城市路网交通系统规模大和非线性、不确定性强等特点，利用模糊神经网络设计了一种新的实时分散协调控制算法。
According to the nonlinear, uncertain and large scale characteristics of urban road network system, a novel distributed and cooperative control algorithm based on fuzzy neural network is designed.
本文与一般的基于遗传算法的神经网络设计相比，提出一个新型算子——BP算子，并对神经网络的权值和结构同时优化。
Compared with general ANN design, this paper puts forward a new operator, BP operator, and optimizes the ANN's initial weights and structure at the same time.
提出一种基于正交基函数的小波神经网络设计方法，采用多分辨率学习确定隐含层结构，并用收敛较快的阻尼最小二乘法训练权值。
In this approach the network structure is determined by multiresolution learning, and the weights are trained by damped least squares which has fast convergent rate.
通过神经网络可以很好地实现上面提到的后两个设计目标(当然，假设初始计算问题可以通过此网络解决)。
The latter two of my design goals above can be fulfilled neatly by a neural network (assuming that the original computational problem can be solved with such a network, of course).
基于神经网络的点状符号自动识别研究，设计了点状符号自动识别流程。
Recognizing point map mark through nerve network . The flow of point map mark recognizing is designed in detail.
本文根据变量泵的具体情况，为其设计了自适应的神经网络模糊控制器，实现了变量泵的智能控制。
This paper describes that the combination of neural networks and fuzzy controller make the designing an intelligent controller for variable piston pumps become feasible and realistic.
基于均匀设计、差分法和模糊人工神经网络建立了新的隧道围岩物理力学参数反分析方法。
The new back analysis method of physics and mechanics parameters of surrounding rock was established by uniform design, calculus of differences and fuzzy artificial neural networks in this paper.
提出一种关于多层前向神经网络结构的混沌优化设计方法。
The optimization design method is proposed for feed-forward neural network structure by means of chaos ergodicity and randomicity.
利用人工神经网络技术设计了一段式计算路侧道路交通污染物浓度的模型。
A model was developed to estimate the traffic pollutant concentrations along roadside in one step with artificial neural network technique.
设计了预测回采巷道锚杆支护参数的神经网络结构，并根据BP算法编制了软件。
A bolt supporting parameter selection neural network construction has been developed, the software is programmed based on BP algorithm.
首先研究了基于神经网络的故障诊断模型的分类和设计步骤，并将诊断模型大体分为6类和5个设计步骤；
First, it researches the category and design process of the fault diagnosis model based on neural network. The model includes 6 categories and 5 design processes.
利用神经网络模式识别能力对输入数据处理辨别，设计合适的控制网络层对汽车纵向动力学系统实施控制；
Then, the neural networks model is applied to identify and process input data, design suitable networks layer for the vehicle longitude dynamics system control.
基于神经网络的点状地图符号自动识别研究，设计了点状符号识别流程。
The recognition of point map mark by using neural network is introduced in this paper together with the flowchart of the method.
但是，这些方法并未提出一个有效的特征抽取算法，导致神经网络的设计较困难、效率较低。
These methods however do not provide an effective feature extraction process, leading to difficulties and inefficiency in designing the neural networks.
提出了一种基于混沌变量的多层模糊神经网络优化算法设计。
An optimization algorithm design based on chaotic variable is proposed for multilayer fuzzy neural network.
利用神经网络来设计自适应噪声抵消系统具有重要的理论意义和实用价值。
The use of neural networks for designing a adaptive noise cancellation system is important theoretical significance and practical value.
仿真结果表明，所设计的模糊神经网络控制器能有效地减少单交叉口平均车辆延误，具有较强的学习和泛化能力。
Results of simulation show that the fuzzy neural controller can not only decrease the average vehicle delay but also possesses excellent abilities of learning and generalization.
然后，基于某型小卫星的姿态控制问题，设计了高精度定向阶段的神经网络补偿控制器。
Then, base on the problem of attitude control of a satellite under development, we design a NN compensation controller for high accuracy orientation phase.
然后，基于某型小卫星的姿态控制问题，设计了高精度定向阶段的神经网络补偿控制器。
Then, base on the problem of attitude control of a satellite under development, we design a NN compensation controller for high accuracy orientation phase.
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