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4下载：
基于BP神经网络的字符识别系统~用MATLAB编写`包括论文~以及代码~适合于毕业设计-BP neural network-based character recognition system using MATLAB ~ `~ including papers and code ~ suitable for graduate design
字符识别是模式识别领域的一项传统的课题，这是因为字符识别不是一个孤立的问题，而是模式识别领域中大多数课题都会遇到的基本问题，并且在不同的课题中，由于具体的
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现有数字信号自动调制识别方法大多只适用于无记忆信号，如PSK、ASK、FSK信号等。将有记忆
信号(MSK信号)和无记忆信号一起考虑，提出了一种改进的数字信号自动识别方法。该方法采用信号的瞬时统
计量作为特征参数，采用多层神经网络作为分类器。计算机仿真表明：当噪声采用高斯白噪声，并且信噪比大于
l5 dB时，识别率高于96％ ；当信噪比不低于l0 dB时，识别率不低于90％。,Existing digital signal automatic modulation recognition
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基于神经网络的多变量解耦控制方法研究,用神经网络进行解耦控制-Based on neural network decoupling control of multi-variable method, using neural network decoupling control
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These set of programs are written to design a robust power system stabilizer for minimizing the effects of low frequency oscillations in electric power systems. A complete nonlinear model of the power system represented by a single machine connected
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本书着重介绍MATLAB在工程数据数学处理中应用的基础知识和计算方式，其内容涉及MATLAB主包和部分工具箱内容。本书另外涉及MATLAB系统的模糊逻辑工具箱的自适应神经网络模糊推理系统，对自适应神经网络模糊推理系统的数学原理、功能使用和程序调用进行了较详细的论述。-This book focuses on MATLAB mathematical treatment in the application of engineering data, the basic knowledge and m
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An Introduction to Neural Network Using Matlab
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《智能预测控制及其MATLAB实现(第2版)》系统地论述了神经网络控制、模糊逻辑控制和模型预测控制的基本概念、工作原理、控制算法，以及利用MATLAB语言、MATLAB工具箱函数和Simulink对其实现的方法。该书取材先进实用，讲解深入浅出，各章均有相应的例题，并提供了大量用MATLAB/Simulink实现的仿真实例，便于读者掌握和巩固所学知识。-Intelligent predictive control and MATLAB (2nd edition) described the neu
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BP神经网络，matlab环境下利用BP算法，采用BP神经元网络的设计方法实现分类器的设计-BP neural network BP algorithm Matlab environment, using BP neural network design method classifier design
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：根据公交站点客流集散量，选用合适的ＢＰ神经网络构建公交车辆调度形式的神经网络预报
模型．运用ＢＰ神经网络Ｍａｔｌａｂ工具箱设计的基本方法与过程，将ＢＰ网络模型引入公交车辆的调
度方案研究，计算结果表明，ＢＰ模型应用于公交车辆调度形式预测中具有较高的预测精度和良好
的泛化能力-according to the bus station passenger flow distribution quantity, choose suitable BP neural network cons
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the file represents very good tutorial using matlab in neural network field
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ace Detection Program for MATLAB 2013a
using Gabor Feature Extraction and Neural Networks
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1- copy all files and directories to the MATLAB s work folder
* In order to run
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it s RBF neural network by using tool box matlab-it s RBF neural network by using tool box matlab
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利用bp神经网络对UCI数据库进行训练，分析数据的特性，希望能对需要初级学习matlab的人们有所帮助
-Bp using neural network trained on UCI database, the characteristics of the analysis of data, hoping to junior matlab help people learn
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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
studi
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The paper deals with a controller design for the nonlinear processes using genetic
algorithm and neural model. The aim was to improve the control performance using
genetic algorithm for optimal PID controller tuning. The plant model has been
id
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智能算法人工神经网络中，43个重要算法，用MATLAB编写，使用的是.doc 文档打开。-43 cases for intelligent algorithm the neural network using MATLAB ,and the document is .doc .
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AN ANN BASED APPROACH FOR
OPTIMAL PLACEMENT OF
DSTATCOM FOR VOLTAGE SAG
MITIGATION-Voltage sag has been considered as one of the most harmful power quality problem as it may significantly
affect industrial production. This paper presents
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MATLAB using neural network processing salesman problem, the effect is very good, error, and error can be calculated. Using a wide range, easy to operate. It is a good thing
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用matlab语言写的RBF神经网络程序，可供初学者学习参考-Using matlab language used to write RBF neural network program for beginners learning reference
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本书的主要内容包括：对MATLAB语言的数值计算、Simulink工具箱、神经网络工具箱和模糊工具箱的介绍，以及利用这些工具箱对建筑结构抗震工程中的一些实际问题进行研究分析和编程计算。本书侧重于介绍MATLAB语言在建筑结构抗震工程中的实际应用，涉及了科学计算、动态仿真、图形处理、神经网络和模糊控制。(The main contents of this book include the introduction of numerical calculation of MATLAB languag
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