基于人工神经网络的鱼病诊断专家系统研究

Changhui Deng, Wei Wang, Jun Gu, Xiangnan Cao, Chan Ye
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引用次数: 3

摘要

在鱼病诊断过程中存在着大量的专业知识。针对专家诊断智能水平低、实用性差等缺点,提出了一种基于神经网络的鱼病诊断专家系统新结构。该诊断系统利用鱼类疾病的老病例对神经网络进行训练,通过训练后的神经网络实现疾病诊断。该方法可实现鱼病的及时、快速诊断,为鱼病诊断系统的开发提供了一种新的有效方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research of fish disease diagnosis expert system based on artificial neural networks
There is a lot of expert knowledge in fish disease diagnostic process. Aimed at the drawbacks of expert diagnosis such as low level of intelligence and poor practicality, a new structure of fish disease diagnostic expert system based on neural networks is proposed. The diagnosis system uses the old cases of fish disease to train the neural network, and the disease diagnosis is achieved through the trained neural network. This method can realize the diagnosis of fish disease timely and rapidly, and provide a new effective method to the development of fish disease diagnosis system.
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