节点文献
语义神经网络与自然语言深层语义的计算
Semantic Neural Networks and the Deep-Seated Semantic Computing of the Natural Language
【摘要】 本文依照语义神经网络、语义神经元及其上深层语义计算的形式化定义,基于深层语义计算需要分布式并行处理的特点,提出运用多线程技术来模拟实现神经元的同步并行计算。我们描述了如何利用多线程中单个线程实现神经元的独立自主运行,以及如何利用多线程中的同步机制实现神经元之间的消息传递。
【Abstract】 In this paper, we present the formalized definition of Semantic Neural Network, the neurons in it and the deep semantic computing on it. Based on the characteristics of the deep-seated semantic computing which needs distributed parallel processing, we use a multithreading technique to simulate and actualize synchronized parallel processing. We describe how to use a single thread of multi-thread to actualize the independent running of neurons, and how to use the synchronized mechanism in multi-thread to actualize the transfer of information between neurons.
【关键词】 自然语言理解;
语义神经网络;
分布式对象系统;
多线程;
【Key words】 natural language understanding; semantic neural network; distributed objected-system; multi-thread;
【Key words】 natural language understanding; semantic neural network; distributed objected-system; multi-thread;
【基金】 湖南省自科基金资助项目(02JJY2092)
- 【文献出处】 计算机工程与科学 ,Computer Engineering & Science , 编辑部邮箱 ,2007年01期
- 【分类号】TP183
- 【被引频次】8
- 【下载频次】358