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基于自组织特征映射神经网络的图像压缩算法，ＥＩ检索论文，绝对有参考价值．-Based on self-organizing feature map neural network image compression algorithm, EI retrieval papers, the absolute reference value.
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Kohonen article of self-organizing maps, published in 1982 in IEEE. It contain general ideas about self-organizing neural networks.
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In this work, Artificial Neural Networks are employed in a Fault Detection and Isolation scheme for robotic manipulators. Two networks are utilized: a Multilayer Perceptron is employed to reproduce the manipulator dynamical behavior, generating a res
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自组织映射（SOM）已成功处理的欧式旅行的鹅岭推销员问题（TSP）。通过将其邻域保持财产和
凸包属性数值模拟TSP，我们引入了一个新的SOM如神经网络，称为前panding的SOM（ESOM）的。在每一个学习的迭代，ESOM提请接近的兴奋神经元
输入的城市，并在此期间，推压它们向凸包ofcities合作。
ESOM可能收购邻里保护财产和凸包的属性
的TSP，因此它可以产生接近最优的解决方案。从理论上分析了其可行性
和经验。一个的系列ofexperiments进行合成和基准的T
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TGSOM一种用于数据聚类的动态自组织映射神经网络,一篇不错的论文-Dynamic TGSOM for data clustering self-organizing map neural network, a good thesis
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SOM自组织特征映射神经网络原理讲解。写的很细致，适合初学者参考学习使用。-SOM self-organizing feature map neural network theory to explain. Write very detailed, suitable for beginners learning to use.
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Anomaly Detection using Self-Organizing Map and Wavelets in Wireless Sensor Networks-Anomaly Detection using Self-Organizing Map and Wavelets in Wireless Sensor Networks
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