基于遗传神经网络的渔业养殖疾病预测

Aquaculture Disease Prediction Based on the Genetic Neural Network Algorithm

简要介绍了神经网络和遗传算法的基本原理,针对神经网络算法易陷入局部极小的缺点,将具有全局寻优特点的遗传算法融入其中,使用遗传算法对神经网络的权值优化,并将该算法运用到渔业养殖疾病预测中,得到了收敛速度快、精度较高的预测模型。这种模型具有较好的客观性和实用性,可以为科学养鱼、处理养殖疾病提供依据。

The principle of neural network algorithm and genetic algorithm was introduced briefly.In order to overcome the shortcomings of neural network algorithm that was usually trapped to a local optimum,according to the advantage of the globe optimal searching of genetic algorithm,a combining algorithm for neural network training was formed by combining neural network algorithm and genetic algorithm in the aquaculture disease prediction.This model could offer some helps in fishing scientifically and dealing with breeding diseases.