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Description: 介绍了自适应共振理论ART模型的工作原理和算法流程。-introduced ART Adaptive Resonance Theory model of principle, and the algorithm.
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Size: 44254 |
Author: 周汝胜 |
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Description: 落煤残存瓦斯量的确定是采掘工作面瓦斯涌出量预测的重要环节,它直接影响着采掘工作面瓦斯涌出量预测的精度,并与煤的变质程度、落煤粒度、原始瓦斯含量、暴露时间等影响因素呈非线性关系。人工神经网络具有表示任意非线性关系和学习的能力,是解决复杂非线性、不确定性和时变性问题的新思想和新方法。基于此,作者提出自适应神经网络的落煤残存瓦斯量预测模型,并结合不同矿井落煤残存瓦斯量的实际测定结果进行验证研究。结果表明,自适应调整权值的变步长BP神经网络模型预测精度高,收敛速度快 该预测模型的应用可为采掘工作面瓦斯涌出量的动态预测提供可靠的基础数据,为采掘工作面落煤残存瓦斯量的确定提出了一种全新的方法和思路。-charged residual coal gas is to determine the volume of mining gas emission rate forecast an important link, which directly affect mining gas emission rate forecast accuracy, and with coal metamorphism, loading coal particle size, the original gas content, exposure time and other factors nonlinear relationship. Artificial neural networks have expressed arbitrary nonlinear relationships and the ability to solve complex nonlinear, time-varying uncertainty and the new ideas and new approaches. Based on this, the author of adaptive neural network loading coal residual gas production forecast model, and a combination of different loading coal mine gas remnants of the actual test results of research. Results show that the adaptive value of the right to change step BP neural network model predict
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Size: 60416 |
Author: 王静 |
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Description: 自组织系统Kohonen网络模型。对于Kohonen神经网络，竞争是这样进行的：对于“赢”的那个神经元c，在其周围Nc的区域内神经元在不同程度上得到兴奋，而在Nc以外的神经元都被抑制。网络的学习过程就是网络的连接权根据训练样本进行自适应、自组织的过程，经过一定次数的训练以后，网络能够把拓扑意义下相似的输入样本映射到相近的输出节点上。网络能够实现从输入到输出的非线性降维映射结构：它是受视网膜皮层的生物功能的启发而提出的。~..~-Kohonen network model. For Kohonen neural network, competition is this : For the "winner" of neurons c, in its switching around the region neurons in varying degrees, to be excited, and the switching outside the neurons were inhibited. Network learning is a process in the network connecting the right under the training samples for adaptive, self-organizing process, after a certain number of training, network topology can sense similar to the mapping of the input samples similar to the output nodes. Network can be achieved from input to output of nonlinear reduced-dimensional mapping structure : it is subject to retinal cortex of the biological function inspired by. ~ ~ ..
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Size: 34816 |
Author: 张洁 |
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Description: This a Bayesian ICA algorithm for the linear instantaneous mixing model with additive Gaussian noise [1]. The inference problem is solved by ML-II, i.e. the sources are found by integration over the source posterior and the noise covariance and mixing matrix are found by maximization of the marginal likelihood [1]. The sufficient statistics are estimated by either variational mean field theory with the linear response correction or by adaptive TAP mean field theory [2,3]. The mean field equations are solved by a belief propagation method [4] or sequential iteration. The computational complexity is N M^3, where N is the number of time samples and M the number of sources.
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Size: 7168 |
Author: 陈互 |
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Description: ACE自适配通信环境 (Adaptive Communication Environment)是面向对象的框架和工具包，它为通信软件实现了核心的并发和分布式模式。-ACE since Adapter communications environment (Adaptive Communication Environment) is an object-oriented framework and tool kits for its communications software with the core of the model and distributed.
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Size: 928768 |
Author: bingo |
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Description: 802.11a WLAN PHY
There are *three* versions of the 802.11a physical layer model:
R13/IEEE80211a.mdl:
Requires R13 (MATLAB 6.5) and Stateflow (for adaptive modulation control)
R13/IEEE80211a_NoSF.mdl:
Requires R13 (MATLAB 6.5), but does not require Stateflow.
R13SP1/IEEE80211a.mdl
Requires R13SP1 (MATLAB 6.5.1), but does not require Stateflow.
This latest version also includes some bug fixes.
All Simulink models require the Communications Blockset.
-802.11a WLAN PHY There are three** version s of the 802.11a physical layer model : R13/IEEE80211a.mdl : Requires R13 (MATLAB 6.5) and Stateflow (for ad aptive modulation control) R13/IEEE80211a_N oSF.mdl : Requires R13 (MATLAB 6.5), but does not require Stateflow. R13SP1/IEEE80 211a.mdl Requires R13SP1 (MATLAB 6.5.1). but does not require Stateflow. This latest ver folksy also includes some bug fixes. All Simulink models require the Communications Blockset.
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Size: 200704 |
Author: 刘海涛 |
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Description: 仿真AR（2）模型的LMS自适应滤波器。
-simulation AR (2) Model LMS adaptive filter.
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Size: 81920 |
Author: 陈金立 |
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Description: 介绍了自适应共振理论ART模型的工作原理和算法流程。-introduced ART Adaptive Resonance Theory model of principle, and the algorithm.
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Size: 44032 |
Author: 周汝胜 |
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Description: 本文档是本人的自适应控制大作业，作业里分模型参考自适应控制（用smulink仿真）和CARMA模型的最小方差自适应控制，文中有详细的smulink框图和matlab程序，格式美观，分析透彻，图形整齐，对学习自适应控制的朋友有很大的帮助，谨以本人微薄的力量和成果与大家共鸣，-This document is my adaptive control large operations, operating in sub-model reference adaptive control (with smulink simulation) and the CARMA model of minimum variance adaptive control, the text has a detailed diagram smulink and matlab procedures, aesthetic format, analysis and thorough , graphics, neat, in learning adaptive control of a friend has a great help, I would like my meager results of the strength and resonance with the U.S.,
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Size: 220160 |
Author: 阳关 |
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Description: 模型参考自适应控制的课件,非常经典!希望对大家有所帮助!-Model reference adaptive control of the courseware, very classic! Want to be helpful to everyone!
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Size: 490496 |
Author: liyan |
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Description: 一个很好用的自适应人工神经网络模型库，包括ADALINE/RBF/多层前向等，另外内含Demo，更易上手-A good use of adaptive artificial neural network model library, including the ADALINE/RBF/Multi-layer and so on, the other containing the Demo, even易上手
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Size: 147456 |
Author: 风影 |
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Description: 一个自适应控制方面的Simulink程序，主要解决无模型自适应（MFA）控制的问题-Adaptive control of a Simulink procedures, mainly to solve the model-free adaptive (MFA) control
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Size: 6144 |
Author: gaofei |
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Description: 基于HOpfield网络的PID模型参考自适应控制-HOpfield network-based PID model reference adaptive control
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Size: 1024 |
Author: huangyinrong |
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Description: 雷达学院建立的一种新型机载杂波模型,空时自适应杂波模型-Radar Academy established a new type of airborne clutter model, space-time adaptive clutter model
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Size: 1442816 |
Author: 阿华 |
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Description: code for the model reference adaptive control system
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Size: 115712 |
Author: touati brahim ammar |
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Description: 对模型参考自适应进行仿真，并且给出控制算法的改进-The model reference adaptive simulation, and gives the control algorithm
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Size: 2048 |
Author: 李江业 |
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Description: This book presents a comprehensive and unifying introduction to kernel adaptive fi ltering. Adaptive signal processing theory has been built on three pillars: the linear model, the mean square cost, and the adaptive least - square learning algorithm. When nonlinear models are required, the simplicity of linear adaptive fi lters evaporates and a designer has to deal with function approximation, neural networks, local minima, regularization, and so on. Is this the only way to go beyond the linear solution? Perhaps there is an alternative, which is the focus of this book. The basic concept is to perform adaptive fi ltering in a linear space that is related nonlinearly to the original input space. If this is possible, then all three pillars and our intuition about linear models can still be of use, and we end up implementing nonlinear fi lters in the input space. - This book presents a comprehensive and unifying introduction to kernel adaptive fi ltering. Adaptive signal processing theory has been built on three pillars: the linear model, the mean square cost, and the adaptive least - square learning algorithm. When nonlinear models are required, the simplicity of linear adaptive fi lters evaporates and a designer has to deal with function approximation, neural networks, local minima, regularization, and so on. Is this the only way to go beyond the linear solution? Perhaps there is an alternative, which is the focus of this book. The basic concept is to perform adaptive fi ltering in a linear space that is related nonlinearly to the original input space. If this is possible, then all three pillars and our intuition about linear models can still be of use, and we end up implementing nonlinear fi lters in the input space.
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Size: 1442816 |
Author: johnny |
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Description: 针对交互式多模型(IMM)算法的目标跟踪精度问题，提出了一种自适应模型集IMM算法．
利用IMM算法中的模型概率含义，并以此对模型集的收缩比例因子进行设计，这样模型集通过向
中心模型收敛可完成自适应调整，而自适应调整过程能有效、实时地利用观测信息．-Tracking accuracy, the goal of interacting multiple model (IMM) algorithm and an adaptive model set IMM algorithm.
IMM algorithm in the model the probability of the meaning and design, so that the model set by the scale factor of contraction of the model set
Center model convergence to be completed by the adaptive adjustment of the adaptive adjustment process can effectively real-time use of observational information.
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Size: 194560 |
Author: 李 |
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Description: 《系统辨识与自适应控制》程序，包含最小二乘辨识，模型参考自适应控制和自校正控制等-"System identification and adaptive control procedures, including the least squares identification, model reference adaptive control and self-tuning control
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Size: 2265088 |
Author: ZHC |
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Description: 关于自适应控制的工具书以及ARX模型的matlab仿真示例，得到脉冲响应与阶跃响应的相关分析图像。(On the MATLAB simulation example of ARX model, the correlation analysis image of pulse response and step response is obtained.)
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Size: 11129856 |
Author: 1065751672
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