Dissolved oxygen content prediction method based on SNN, electronic device and system

The invention provides a dissolved oxygen content prediction method, an electronic device and system, and the method comprises the steps: predicting the content of dissolved oxygen in a to-be-detectedwater area through a pre-trained SNN model based on the environment factor data, collected online, of the to-be-detected water area; wherein the process of obtaining the trained SNN model through training comprises the step of determining a weight adjustment function of model training according to a two-phase STDP mechanism. According to the method, the training speed of the prediction model is increased, and the accuracy and precision of predicting the dissolved oxygen content are improved. 本发明提供一种基于SNN的溶解氧含量预测方法、电子设备及系统，该方法包括：基于在线采集的待测水域的环境因子数据，利用预先训练好的SNN模型，预测所述待测水域中的溶解氧含量；其中，训练获取所述训练好的SNN模型的过程包括：根据二相STDP机制，确定模型训练的权重调整函数。本发明提高了预测模型的训练速度，提高了预测溶解氧含量的准确度和精确度。