Neural networks have been used as a mechanism of knowledge acquisition for expert system in stock market forecasting with astonishingly accurate results.
神经网络已被用为股票市场预测专家系统的知识获取的一种机制，并取得了惊人的准确结果。
The method relies on active perturbation to the system to obtain prior knowledge for building the model, and then constructs the dependency model based on the methods of building Bayesian networks.
这个方法通过对系统进行主动干扰来获得建模的先验知识，然后基于贝叶斯网络构造方法，对分布式应用的组件间关系建立依赖性模型。
The evaluation system is realized based on the decisionmakers' knowledge and the fuzzy neural networks, and suitable for the problems in which most variables are linguistic variables.
评价功能是基于决策者(专家)的知识和模糊神经网络实现的，适用于以语言型变量为主的系统的评价问题。
Hybrid modeling for a kind of nonlinear system with hysteresis is studied, which combined prior knowledge with neural networks black-box modeling.
利用先验知识和神经网络黑箱建模相结合，对一类复杂滞后非线性系统进行了杂交建模研究。
A practical neural networks based classification system was discussed in this paper, in which automatic knowledge acquiring and fuzzy reasoning was realized.
讨论了一个基于神经网络处理系统，实现了推理知识的自动获取和自适应模糊推理，具有很强的实用性。
A practical neural networks based classification system was discussed in this paper, in which automatic knowledge acquiring and fuzzy reasoning was realized.
讨论了一个基于神经网络处理系统，实现了推理知识的自动获取和自适应模糊推理，具有很强的实用性。
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