本文提出了一种称为环结构神经网络(LANN)模型及其学习算法。

This paper provides a new architecture of neural network, called Loop architecture neural network (LANN), and its learning rules.

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金属-有机大环结构是一类人工合成的，旨在模拟和学习酶催化及识别过程的重要模型。

Synthetic and functional metal-organic macrocycles are important models to realize the process of enzyme catalysis and recognition.

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本文用支持矢量学习机和神经网络两种机器学习方法建立选择性环氧化酶-2抑制剂的活性预测模型，以期为选择性环氧化酶-2抑制剂药物的合成提供先导化合物。

Machine learning methods, including Support Vector Machines and Artificial Neural Network, are applied to the development of the classification models for the selective COX-2 inhibitors in this paper.

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