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设计了一种基于改进的粒子群优化算法的营养评价与膳食智能决策系统,首先针对经典粒子群算法过早收敛的局限性,提出了改进算法,并将其引入系统中,并结合本体知识库技术构建了营养评价模型知识库,并在此基础上详细阐述了系统的整体架构、流程和决策模型,以为营养膳食系统的设计提供一定参考。
A nutrition evaluation and dietary intelligence decision-making system based on improved Particle Swarm Optimization (PSO) algorithm is designed. At first, aiming at the limitation of premature convergence of classical particle swarm optimization algorithm, an improved algorithm is proposed and introduced into the system. Combined with ontology knowledge base Technology to build a knowledge base of nutrition evaluation model, and on this basis elaborated on the overall structure of the system, processes and decision-making model to provide a reference for the design of nutritional diet system.