RED TIDE PREDICTION METHOD USING NEURAL NETWORK AND SVM

摘要

PURPOSE: A red tide occurrence prediction method using a neural network and SVM(support vector machines) is provided to minimize red tide damages by predicting red tide occurrence based on an ocean environment. CONSTITUTION: A learning material for predicting red tide occurrence is processed in advance(100). A red tide occurrence state for input data is predicted by referring to processed learning material(200). The red tide occurrence is predicted by using an SVM model including a penalty term and composure variable which presents a distance from a focal plane to a material which is wrongly located. [Reference numerals] (100) Pre-processing; (200) Nerve network/SM; (AA) Learning material; (BB) Learning; (CC) Input material; (DD) Predicting occurrence of red tide