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newpnn
- 基于GMM的概率神经网络PNN具有良好的泛化能力，快速的学习能力，易于在线更新,并具有统计学的贝叶斯估计理论基础，已成为一种解决像说话人识别、文字识别、医疗图像识别、卫星云图识别等许多实际困难分类问题的很有效的工具。而且PNN不但具有GMM的大部分优点，还具有许多GMM没有的优点，如强鲁棒性，需要更少的训练语料，可以和其他网络其他理论无缝整合等。-GMM based probabilistic neural network PNN good generalization ability, the
qdsg
- 主要研究了超声回波信号的小波分析算法和BP神经网络算法。在超声检测中，作为检测基本数据的脉冲反射回波信号受到电子噪声和结构噪声的干扰，-major study of the ultrasonic echo signal wavelet analysis algorithm and BP neural network algorithm. In ultrasonic testing, to detect the basic data pulse echo signals reflected by
shengjingwangluo123456
- 基于 神经网络 算法的 入侵检测，我的 毕业设计，仅 供大家参考-based on neural network algorithm Intrusion Detection, I graduated in design, is for your reference
voidetest
- 基于神经网络的语言情感识别系统，可以识别人讲话时是喜，怒，高兴还是平静，具有较高的识别率。-The language of emotion recognition system based on neural network can recognize human speech is happy, angry, happy or calm, has a high recognition rate.
NNeural_fin
- neural network ,Spectrum prediction in the cognitive radio system attracts more and more attention. It can predict future spectrum holes to save energy of spectrum sensing and to improve the efficiency of spectrum access.