The nn discriminating methods adopted in this thesis is different from the former based on nn 本文采用的神经网络识别方法与以往的神经网络辨识方法不同。
The results of the three neural network models are discussed and the best one is found out 对比了各种神经网络的识别效果并得出了最佳的神经网络识别模型。
The neural network recognizing algorithm based on multi channel gabor filter feature is presented 相应地给出了一个基于多通道gabor滤波器特征神经网络识别算法。
Results show that ann has a higher recognition rate and potential advantages in automatic speech recognition 研究结果表明，神经网络识别方法有较高的识别率和独特的应用优势。
Combining sofm network and bp network we construct a multi - classifier to recognize junctions in images 交叉点的神经网络识别。提出了一种识别灰度图像中交叉点的神经网络方法。
Second , we talked algorithms of speaker - dependent and isolated - word speech recognition , including dtw , vq , hmm , and ann 研究特定人孤立词识别算法，包括dtw识别法、 vq识别法、 hmm识别法以及神经网络识别法。
The identification results show that the ann has enough accuracy in identifying the aerodynamic parameters and can be used in practice 训练结果表明人工神经网络识别静力三分力系数和气动导数具有较好的精度，能够满足实际要求。
In the research , the mda function and 5 - indices - ann model illustrate a great power in identifying the fraud . this article is divided into four chapters 研究结果表明会计信息失真多元判别分析识别函数和5指标神经网络识别模型具有较高的识别能力。
7 the corn breed is identified by three layer bp neural network . to optimize the network structure and input vector , the result shows the method can identify corn breed to 93 % 7 、用三层bp神经网络识别玉米品种，通过训练确定网络参数，优化组合输入参数，识别率为93 。
Then the study algorithm is improved to enhance the identification result of the aerodynamic derivatives , and different bp anns are built to identify the static coefficients 然后改进了学习算法以识别桥梁模型的气动导数，并采用了不同的bp网络识别桥梁模型的静力三分力系数。
