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文件包括《面向MATLAB工具箱的人工神经网络理论与应用实例》一书中的所有源程序,并附有程序清单。-documents include "Toolbox for MATLAB Artificial Neural Network Theory and Application", a book of all the source, together with a list.
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人工神经网络的经典算法,非常利于学习人工神经网络。-artificial neural network algorithm for the classic, very conducive to learning artificial neural networks.
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人工神经网络的经典算法,非常利于学习人工神经网络。 -artificial neural network algorithm for the classic, very conducive to learning artificial neural networks.
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基于人工神经网络的语音识别,运用了从语音中提取出的LPC参数与人工神经网络结合进行识别。希望能对你有帮助-based on artificial neural networks, voice recognition, use the voice extracted from the LPC parameters and artificial neural network identification. The hope is to help you
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delphi pascal、 人工神经网络源代码-delphi pascal, artificial neural network source code
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BP network is a wide used network in Artificial Neural Network domain. This is a example of BP, applied with Matlab!
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《Neural Networks for Text-to-Speech Phoneme Recognition》This paper presents two different artificial neural network approaches for phoneme recognition for text-to-speech applications: Staged Backpropagation Neural Networks and Self-Organizing Maps.
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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 importa
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基于人工神经网络的手写英文字母、数字图像识别的源程序代码。,Based on Artificial Neural Network handwritten letters of the alphabet, the digital image to identify the source code.
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北京工业大学计算机学院人工神经网络课件pdf版-Beijing University of Technology Institute of artificial neural network computer courseware pdf version
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bp人工神经网络的 matlab编程 简单 通用 易实现-bp artificial neural network matlab programming easy to achieve a simple general-purpose
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人工神经网络编程,nnToolkit Source Code,编程环境Matlab-Artificial neural network programming, nnToolkit Source Code, Matlab programming environment
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汉语语音情感识别的研究。可以借鉴一下,与程序很好用-基于神经网络的汉语语音情感识别的研究。很好的描述了人工神经网络的方面-Neural Network Based Speech Emotion Recognition in Chinese studies. Good descr iption of the artificial neural network connection
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就目前三种主流的语音识别算法:动态时间规(DTW)、隐马尔科夫模型(HMM)和人工神经网络(ANN)。分析它们的原理、特点及实现过程,对 DTW 的语音识别进行实验,通过对比分析三种算法的特点,结合本文研究的实际情况,选择 DTW 作为研究的重点,提出利用遗传算法对其进行改进。
-The three mainstream speech recognition algorithms: Dynamic Time Regulations (DTW), hidden Markov model (HM
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汇编语言下的人工神经网络初步实现,配合一些高级算法-Initial realization of artificial neural network assembly language, with some advanced algorithms
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数字信号C语言程序集,FFT、快速卷积、IIR数字滤波、图像旋转、增强、边缘检测、人工神经网络算法-Digital signal C assembly language, FFT, fast convolution, IIR digital filtering, image rotation, enhancement, edge detection, artificial neural network algorithm
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人工神经网络的matlab仿真实验,内附m文件-Artificial neural network matlab simulation, enclosing the m file
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刚开始研究人工神经网络。搜集了特别多资料,适合初学者-Beginning to study the artificial neural network. Collecting a particularly large number of information for beginners
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人工神经网络测试的对于初学者应该具有一定的帮助-Artificial neural network testing
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ABC 算法已经成功应用于人工神经网络训练、组合优化、电力系统优化、系统和工程设计等多个领域。近年来,ABC 算法得到了学术界的广泛关注,但由于提出时间较晚,目前的研究成果比较分散且缺乏系统性。-ABC algorithm has been successfully applied artificial neural network training, combinatorial optimization, power system optimization, multiple field sy
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