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本文探讨了神经网络用于图像压缩的方法，提出了一种基于边缘信息检测的BP神经网络压缩方法:按图像各部分像素特征将图像分为平滑块、纹理块和边缘块，不同的分类块采用不同的隐含层数。实验结果证明本算法在在保证重建图像丰富细节的同时，能大大提高图像的压缩比。-This paper discusses the neural network for image compression method, edge information is presented based on BP neural networ
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从ML-EM 重建算法入手，分析了贝叶斯模型的一些关键点，针对采用传统方法求解MAP问题的局限性，提出一种用于正电子成像的贝叶斯神经网络重建算法，为了保留边缘信息，引入了二进制的保边缘变量，并应用共轭神经网络求解，模拟的重建结果表明，应用这种算法可以得到比ML-EM 算法更好的重建图像@-From the ML-EM reconstruction algorithm start with an analysis of Bayesian model some of the key points,
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Multi-step-prediction of chaotic time series based
on co-evolutionary recurrent neural network
协同进化递归神经网络的多步混沌时间序列预测-This paper proposes a co-evolutionary recurrent neural network (CERNN) for the multi-step-prediction of chaotic
time series, it
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image compression and Reconstruction using artificial neural network and genetic algorithm
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利用matlab自带的BP神经网络工具箱对duffing混沌背景模型进行相空间重构与预测，程序中已经给出duffing函数，主函数中也给出了主要注释，方便大家学习交流。-BP' s own use matlab neural network toolbox for duffing chaotic background model and prediction of phase space reconstruction, the program has been given duffing
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基于时间序列相空间重构和RBF神经网络的短时交通流量预测学习方法-Based on time series phase space reconstruction and RBF neural network method of short-term traffic flow prediction study
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提出改进型的节点重构小波包频带能量谱与 PNN（概率神经网络）的联合故障诊断新方法。 有具体的数据和程序，经过本人验证的，程序有效！效果很好！-Joint fault diagnosis node propose a new method for the reconstruction of improved wavelet packet energy spectrum band and PNN (probabilistic neural network). Specific data and p
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神经网络算法和小波分解与重构，BP（Back Propagation）网络，是一种按误差逆传播算法训练的多层前馈网络-Neural network algorithm and wavelet decomposition and reconstruction, BP (Propagation Back) network, is a kind of multilayer feedforward network trained by the error back propagation algorit
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通过卷积神经网络CNN实现超分辨率重建，利用训练模型实现参数和权重偏移的训练，达到输入低分辨率图像，输出高分辨率图像，测试例程附录。-Convolution neural network CNN to achieve super-resolution reconstruction using a training model parameters and to achieve weight shift training to achieve a low-resolution image inpu
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脉冲耦合神经网络PCNN，主成分分析PCA，NSCT分解和重构(Using MATLAB to Realize Pulse Coupling Neural Network PCNN, Principal Component Analysis PCA, NSCT Decomposition and Reconstruction)
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通过神经网络实现高维无线通信信道压缩反馈与重建、低维信道的数据高效传输问题。
nmse小于0.08(The neural network is used to realize the compression feedback and reconstruction of high-dimensional wireless communication channel and the efficient data transmission of low-dimensional channel.
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