Description: matlab例程MATLAB 6.x版的内建数据类型(Built-in data type)就有5种以上,此外还有许多其他专门设计的类(Class),如符号类、内联函数类、控制工具包中的线性时不变模型类、神经网络类等。就程序设计而言,MATLAB 6.x版采用了面向对象编程技术。数据和编程的改变使用户能更简捷而自然地解决复杂的计算问题(如符号计算问题、多变量控制系统问题、神经网络问题)。本章内容根据MATLAB6.5编写,但绝大部分内容适用于其他MATLAB6.x版本。-Matlab routines MATLAB 6.x version of the built-in data types (Built-in da ta type) have more than five, in addition to many other specialized design category (Class). If symbol, which together function category, tool kits control the linear time-invariant model type, neural network type. On the design process, using MATLAB 6.x version of the object-oriented programming technology. Programming and data changes so that users can more simple and natural solution to the complex calculation (as symbolic computation, multivariable control systems, neural networks). According to the contents of this chapter MATLAB6.5 preparation, But most of what applies to other MATLAB6.x version. Platform: |
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Author:fan |
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Description: Matlab代码:神经网络的一个实例,修改后可以应用在图像识别的识别部分。-Matlab code : neural network an example, the revised image can be applied to the recognition part. Platform: |
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Author:刘晓旭 |
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Description: matlab神经网络计算的实现,包括模型/实现/应用,并有简单的simulink-matlab neural network realization of the calculation, including the model/implementation/application has a simple simulink Platform: |
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Author:Dean |
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Description: MATLAB神经网络仿真与应用很详细的一本书
里面含有代码
就是优点简单
适合初学者-MATLAB neural network emulation and application of a very detailed book that contains a code that is suitable for beginners and the advantages of simple Platform: |
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Author:anxq |
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Description: 基于MATLAB的简易OCR程序,字符、数字、汉字的识别都可以参考此程序-MATLAB based on the simple OCR program, characters, numbers, Chinese characters can be a reference to identify the program Platform: |
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Author:小雷 |
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Description: 一个简单的利用神经网络实现的字母识别程序,简单,易懂.-Use of a simple neural network to achieve the letter identification procedures, simple, easy to understand. Platform: |
Size: 28672 |
Author:ghj |
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Description: 本程序是在MATLAB环境采用来对人工神经网络简单实现。-This procedure is used in the MATLAB environment to achieve a simple artificial neural network. Platform: |
Size: 4096 |
Author:方奎 |
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Description: 简单分类器 可用于基于神经网络的字母识别,适合初学者使用。
-Simple classifier based on neural network can be used to identify the letters, suitable for beginners to use. Platform: |
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Author:李敏 |
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Description: PNN又称为概率神经网络,它最初由数学家Specht于1990年提出,后经Master[1995]等不断发展和完善,已成功地应用于机器学习、人工智能、自动控制等众多领域.概率神经网络比多层前馈网络的数学原理简单,且易于实现-PNN is also known as the probabilistic neural network, which was first introduced by the mathematician Specht in 1990, after the Master [1995], such as the continuous development and improvement has been successfully applied to machine learning, artificial intelligence, automatic control and many other fields. Probabilistic neural network than the multi-layer feedforward network of simple math, and are easy to achieve Platform: |
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Author:piano |
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Description: 一种简单有效的基于动态时变语音识别源码
对于大多数研究者来说,寻找能够匹配二重时间序列信号的最佳途径是很重要的,因为它有许多重要的应用需求.DTW是实现这项工作的显著技术,尤其在语音识别技术领域,在这里一个测试信号被按照参照模板拉伸或压缩,
-Searching for the best path that matches two time-series signals is the main task for many researchers, because of its importance in these applications. Dynamic Time-Warping (DTW) is one of the prominent techniques to accomplish this task, especially in speech recognition systems. DTW is a cost minimisation matching technique, in which a test signal is stretched or compressed according to a reference template.
Although there are other advanced techniques in speech recognition such as the hidden Markov modelling (HMM) and artificial neural network (ANN) techniques, the DTW is widely used in the small-scale embedded-speech recognition systems such as those embedded in cell phones. The reason for this is owing to the simplicity of the hardware implementation of the DTW engine, which makes it suitable for many mobile devices. Additionally, the training procedure in DTW is very simple and fast, as compared with the HMM and ANN rivals.
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Author:宋小小 |
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Description: 基于BP神经网络识别字符.
BP神经网络算法是把一组样本输入输出问题转化为一个非线性优化问题,并通过梯度算法利用迭代运算求解权值的一种学习方法。采用BP网络进行分类,并附加线性感知器来实现单字符的有效识别,算法简便,识别率高,可适用于多种高噪声环境中的印刷体字符识别。-BP neural network based character recognition. BP neural network algorithm is a set of sample input and output is transformed into a nonlinear optimization problem, and through the use of iterative gradient algorithm for computing the value of a solution of the right way of learning. BP network used for classification, and additional linear perceptron to achieve an effective single-character recognition, the algorithm is simple, a high recognition rate, applicable to a wide range of high-noise environments print character recognition. Platform: |
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Author:吕寿鹏 |
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Description: Neural networks are good at fitting functions and recognizing patterns.In fact,there is proof that a fairly simple neural network can fit any practical function Platform: |
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Author:zyhhu |
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Description: RBF神经网络的一个样本分类的例子,很简单,懂Matlab基础的就能看明白。-RBF neural network classification of a sample of examples of very simple, based on Matlab understand能看明白. Platform: |
Size: 1024 |
Author:Ariel |
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Description: matlab入门教程简单与详细版本、matlab神经网络源程序工具箱 、turbo码的c语言和matlab仿真程序 加州大学一博士写的基于sift的图像匹配源代码,.rar-matlab simple and detailed version of the Getting Started tutorial, matlab neural network toolbox source code, turbo codes in c language and matlab simulation program written by University of California, a Ph.D. sift-based image matching the source code,. rar Platform: |
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Author:陈君 |
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Description: this code for character recognition.this code can recognize an image with array matrix of [3x3]. this code apply a neural network method.-this is code for character recognition.this code can recognize an image with array matrix of [3x3]. this code apply a neural network method. Platform: |
Size: 1024 |
Author:wanfazri |
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