We find that the Semantic Neural Network relies on semantic analysis mainly, which just accords with the characteristics of Chinese as the language of analytical type.
我们发现语义神经网络以语义分析为主，这正好符合汉语作为分析型语言的特点。
On the basis of this work, we continue to carry on the research of Deep-seated Semantic Computing and really realize the understanding of the nature language with the Semantic Neural Network.
基于表层语义理解的工作，我们继续进行深层语义计算的研究，真正意义上的实现语义神经网络的自然语言理解。
This paper presents a new method of text clustering by using the latent semantic index (LSI) and self-organizing neural network (SNN).
根据隐含语义索引（LSI）理论和动态自组织映射神经网络理论，提出了一种文本聚类的新方法。
With the neural network based approach, human knowledge and machine learning are effectively combined together in the semantic inference.
通过这种方法，我们能够准确地提取多媒体传感器网络中的音频高层语义信息。
With the neural network based approach, human knowledge and machine learning are effectively combined together in the semantic inference.
通过这种方法，我们能够准确地提取多媒体传感器网络中的音频高层语义信息。
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