... 利用神经网络完成分群（Neural networks for classification） 高级规则归纳（Advanced rule induction） 聚类技术（clustering） ...
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bp neural networks for classification bp神经网络分类器
This paper combines the two aspects to recognize handwritten digits by using wavelet transform to extract feature and Adaptive Resonance Theory (ART) Neural Networks for Classification.
本文将二者结合起来，用小波变换抽取特征、用自适应共振art网络作模式分类器来识别手写数字。
This paper presents an efficient training algorithm for probabilistic neural networks using the minimum classification error criterion.
提出了一种基于最小分类错误准则的概率神经网络的训练算法。
To solve the problem of automatic classification for ultrasound placenta images, we put forward an algorithm based on adaptive multiple neural networks.
针对胎盘超声图像自动分级这一临床应用问题，提出一种基于自适应多神经网络的分级算法。
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