Description: 神经网络的自适用算法，利用神经网络对系统辨识和跟踪。此程序为c语言和matlab混和编程，由c语言实现算法，由matlab来显示图形。-neural network algorithm applied since the use of neural network system identification and tracking. This procedure c mixed language and Matlab programming, C language algorithms from Matlab to display graphics. Platform: |
Size: 5475 |
Author:杨一 |
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Description: 采用matlab语言实现的三层BP神经网络算法，能够实现自我学习，跟踪性能较好-using Matlab language of the BP neural network algorithm, to achieve self-study, better tracking performance Platform: |
Size: 863 |
Author:阳文 |
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Description: 采用matlab语言实现的三层BP神经网络算法，能够实现自我学习，跟踪性能较好-using Matlab language of the BP neural network algorithm, to achieve self-study, better tracking performance Platform: |
Size: 1024 |
Author:阳文 |
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Description: 基于GRNN神经网络的视线跟踪源程序。
其中网络的输入分别是瞳孔中心，半径，瞳孔中心与普洱青斑向量。-GRNN neural network-based tracking source line of sight. Network input, respectively, which is the pupil center, radius, the pupil center and Pu Platform: |
Size: 1024 |
Author:严峰 |
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Description: Abstract—Stable direct and indirect decentralized adaptive radial basis
neural network controllers are presented for a class of interconnected
nonlinear systems. The feedback and adaptation mechanisms for each
subsystem depend only upon local measurements to provide asymptotic
tracking of a reference trajectory. Due to the functional approximation
capabilities of radial basis neural networks, the dynamics for each
subsystem are not required to be linear in a set of unknown coeffi cients
as is typically required in decentralized adaptive schemes. In addition,
each subsystem is able to adaptively compensate for disturbances and
interconnections with unknown bounds. Platform: |
Size: 151552 |
Author:centema |
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Description: 在机动目标跟踪中，机动目标模型是机动目标跟踪的基本要素之一，一般希望机动目标模型能准确表征目标机动时的各种运动状态。比较常用的模型有匀速运动(CV)模型、匀加速运动(CA) 模型、时间相关模型（Singer）和机动目标“当前”统计模型。上述模型均采用机动频率表征目标的机动情况。在应用当中，通常采用固定的机动频率，这就表示机动目标的机动时间是一定的，而实际上机动目标的机动时间是不断变化的，也就是说机动频率是不断变化的，采用固定机动频率必然会带来误差。采样周期在0.5—2S时，机动频率越小跟踪精度越高[1]，但机动频率仍然是固定值。本文提出的基于神经网络的机动频率自适应调整方法可以使机动频率随机动而变化，从而提高状态估计的准确性，提高跟踪精度。本文将小波神经网络用于机动目标跟踪中机动频率的自适应调整，该算法对机动目标“当前”统计模型中的机动频率进行实时修改, 从而自适应的改变机动频率,使跟踪算法与目标的真实状态更接近。该算法采用小波神经网络的离线训练，实时性好。-The maneuver of the maneuvering target is uncertain. The maneuvering frequency is constantly changeable, but traditionally it is beforehand determined as a constant based on the target state estimation in the state model of the maneuvering target. The maneuver of the maneuvering target makes the kinematics equation of the target model mismatch with the practical motion model and the tracking error will be increased. Based on the advantages of the self-learning, the rapid convergence rate and the nonlinear approximation ability of the wavelet neural network, it was put forward to be used in the field of target tracking in the paper. The new residual is used as the input of the wavelet neural network, the output of the network is used to adjust adaptively the maneuvering frequency of the CS model. The algorithm is more close to the real state of the target. The simulation results showed that tracking error can be reduced and the tracking accuracy can be improved. Platform: |
Size: 4096 |
Author:李隆基 |
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Description: 神经网络跟踪理论及应用.PDF,神经网络一本不错的书，有目标跟踪。-Theory and Application of Neural Network Tracking. PDF, neural networks a good book, a target tracking. Platform: |
Size: 3744768 |
Author:sunfan |
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Description: 神经网络仿真具有更加实时跟踪反应实际数据变化的功能，其逼近能力更强-Neural network simulation with a more real-time tracking changes in response to the function of the actual data, the more powerful approach Platform: |
Size: 3072 |
Author:李小芳 |
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Description: 一种新型神经网络方法对于粒子追踪测速。与于、普通的单个粒子分析，匹配的算法不同的是，该算法是基于小整体的众多粒子一起分析的。-A new type of neural network method for particle tracking velocimetry Platform: |
Size: 108544 |
Author:kimist |
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Description: 本程序目的是实现神经网络的多变量解耦，并以三入三出系统为例给出了输入变化、输出跟踪和性能评价图像。-The purpose of this program is to achieve neural network multivariable decoupling, and three into three systems, for example given input change output tracking and performance evaluation of image. Platform: |
Size: 2048 |
Author:xiaopeng |
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Description: 本文讨论了小波神经网络在机动多目标跟踪中的应用,多目标跟踪就是主体为了维持对多个目标(客体)当前状态的估计而对所接收的量测信息进行处理的过程。以非线性大规模并行分布式处理为特征的神经网络可以解决传统的目标跟踪方法的难以解决的计算量组合爆炸问题以及需要确定机动目标的数学模型的问题, 将小波分析原理与神经网络相融合,提出了基于小波神经网络的目标跟踪方法来提高系统的学习能力、表达能力以及机动多目标状态的估计精度。-This article discusses the application of wavelet neural network in motorized multi-target tracking, multi-target tracking is the main measurement information received in order to maintain the current state of the multiple goals (guest) estimated processing. The nonlinear massively parallel distributed processing is characterized neural network can solve the traditional target tracking methods computational combinatorial explosion problem difficult to solve the mathematical model of the problem and the need to determine the maneuvering target, the principle of wavelet analysis and neural network fusion, target tracking method based on wavelet neural network to improve the system' s ability to learn, the ability to express and maneuvering multi-target state estimation accuracy. Platform: |
Size: 421888 |
Author:yaomeng |
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Description: This paper proposes a new MPPT controller. The proposed
MPPT controller is based on genetic algorithm (GA) optimized
artificial neural network (ANN). For the simulation purpose an
improved model of SPV is used. The MPPT is simulated and
studied using MATLAB software. Platform: |
Size: 304128 |
Author:samir |
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Description: Speed Tracking of Indirect Field Oriented Control Induction Motor using Neural Network - pdf Platform: |
Size: 349184 |
Author:Nitromira |
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Description: (based on particle filter add color histogram of video target tracking, plus a block. When the target is shielding when a special treatment, when the target will continue to track the target again, losing with Platform: |
Size: 718848 |
Author:fdsfdsf |
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Description: 基于滑模变结构控制在并联机器人中的应用RBF神经网络，这是一个典型的滑膜控制算法，适合新手学生入门开始。-RBF neural network based on the sliding mode variable structure control in the application of parallel robot, which is a classic synovial control, suitable for the new start of the students. Platform: |
Size: 702464 |
Author:谢光 |
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Search - tracking neural network