Study On Multi-level Fuzzy System For Water Quality Evaluation Of Sea Cucumber Culture

In recent years,China’s sea cucumber industry chain has been constantly improved,and sea cucumber culture has become an important part of China’s aquaculture field.The main way of sea cucumber cultivation is intensive cultivation.In the process of cultivation,low survival rate,slow growth,disease,poor quality and other problems caused by sea cucumber cultivation water quality are one of the main problems faced by sea cucumber cultivation enterprises.Therefore,in the process of sea cucumber culture,an accurate grasp of the water quality of sea cucumber culture can provide an important reference for breeding density control,water quality regulation,feed feeding and other aquaculture links.At the same time,it can reduce the occurrence of diseases,improve the survival rate and growth rate,ensure the production and quality of cultured sea cucumber,and improve economic benefits.Aquaculture water quality evaluation is the main way to understand and master the water quality in the process of aquaculture.There is nonlinear correlation among all factors in aquaculture water,which is suitable for comprehensive water quality evaluation method.Neural network method and fuzzy comprehensive evaluation method are widely used comprehensive water quality evaluation methods.However,some neural network methods have complex structures and a large number of hyperparameters.The fuzzy comprehensive evaluation method does not integrate the effects of water quality factors on the life of sea cucumber into the evaluation process and has the problem of disaster series.In view of the above problems,the main research content of this paper is as follows:1.Broad Learning System(BLS)is used to evaluate the water quality of sea cucumber culture.BLS has a flat neural network architecture and incorporates incremental learning algorithm,which has the advantages of fast training speed and easy expansion.The BLS sea cucumber culture water quality evaluation model firstly enhanced the key factors of sea cucumber culture water quality by BLS feature mapping and enhancement layer,and multiplied the mapped and enhanced data with the weight obtained by ridge regression algorithm for pseudo-inverse.The results were transmitted to the output layer,from which the evaluation results of sea cucumber culture water quality were finally obtained.This method avoids the introduction of large number of parameters and complex network structure.In order to verify the performance of this model,fuzzy width learning model(FBLS)and fuzzy adaptive neural network(ANFIS)are used to compare the performance of this model.The results show that the BLS model can effectively evaluate the water quality of sea cucumber culture,and can provide a reference for sea cucumber culture water quality evaluation.2.A multi-level fuzzy evaluation model of sea cucumber culture water quality based on triangular fuzzy number analytic hierarchy process was proposed.Firstly,the water quality key factors were classified according to their positive and negative effects on the growth of sea cucumber.Then,the fuzzy reasoning system of positive and negative correlation factors of sea cucumber culture water quality was designed according to the two key factors.Two fuzzy inference systems are regarded as first-order fuzzy,and their results as the input of second-order fuzzy.The final water quality evaluation results are obtained by the reasoning results of the first level positive and negative correlation factors.In the process of fuzzy reasoning,the triangular fuzzy number analytic hierarchy process was used to assign weight to the key factors of sea cucumber water quality to improve the accuracy of the evaluation results.Finally,the model was compared with the BLS evaluation model and single-stage fuzzy evaluation model of sea cucumber culture water quality integrated with triangular fuzzy number analytic Hierarchy process.The results show that the multi-stage fuzzy evaluation model of sea cucumber aquaculture water quality integrated with triangular fuzzy analytic hierarchy process has a higher evaluation accuracy,alleviates the problem of dimension disaster and occupies less system resources,which can provide a reference for sea cucumber aquaculture water quality evaluation.