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。
Secondly, we make a thorough study of teaching method selection that combines the fuzzy expert system and fuzzy neural networks.
其次,本文对结合模糊专家系统和模糊神经网络来选择教学方法进行了深入探讨。
Aimed at the low self-learning ability drawbacks of traditional expert system, artificial neural networks(ANN) were applied in crop nutrition diagnosis system.
针对传统专家系统自学习能力差的缺点,设计了基于神经网络的作物营养诊断专家系统。
Against difficult convergence problem when the traditional neural networks are applied to complex process system, a hybrid expert neural networks model is brought forward.
针对传统神经网络用于复杂过程系统的控制时难于收敛的问题,文章提出了基于混合建模的模块化的神经网络模型。
An expert system based on neural networks for predicting and judging the state of blast furnace is developed by applying the method of combining neural networks with traditional expert system.
将神经网络与传统专家系统有机地结合,建立了用于高炉炉况预测与判断的神经网络专家系统。
A discussion is devoted to the intelligence control method combining expert system with artificial neural networks. This method had been applied to the design of helicopter flight control system.
讨论了专家系统与人工神经网络相结合的一种控制方法,并将这种方法成功地用于直升机飞行控制系统设计。
An expert system based on neural networks is proposed for selecting methods of tunnel construction by combining the advantages of expert system and neural network.
将专家系统与神经网络优点相结合,建立了隧道施工方法选择的神经网络专家系统。
So, it becomes a very important research field with great practical value and broad developing prospects to research intelligent hybrid system based on neural networks and expert systems.
因此,智能混合系统就成为当今人工智能研究领域中的一个非常重要且具有很大实用价值和广阔发展前景的研究领域。
At the end of this thesis, the problem how to make an Expert System based on the model of Artificial Neural Networks was discussed, and some advice of model ameliorating was given.
最后,本文还对将所建立的人工神经网络模型进一步完善成为神经网络专家系统的问题进行了探讨,并提出了网络及算法进一步改进的方案。
At the end of this thesis, the problem how to make an Expert System based on the model of Artificial Neural Networks was discussed, and some advice of model ameliorating was given.
最后,本文还对将所建立的人工神经网络模型进一步完善成为神经网络专家系统的问题进行了探讨,并提出了网络及算法进一步改进的方案。
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