求翻译：课题以电动汽车用磷酸铁锂电池作为研究对象，采用GA（遗传算法）根据适应度函数的值进行参数的自适应调整，提出了SVM（支持向量机）网络的智能预测方法，并通过仿真实验开展了方法可行性验证。是什么意思？

Subject to electric cars with lithium iron phosphate as a research object, using GA (genetic algorithm) based on the value of fitness function parameters of the adaptive proposed SVM (support vector machine) network of intelligent forecasting methods, and through simulation experiments the feasibili

Topics to electric motor used iron phosphate, lithium-ion batteries used as subjects of research (genetic algorithm) GA adaptation degrees function in accordance with the value of a parameter, since adaptation made SVM (support vector machines) network of intelligent forecasting methods, and through

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Study on the topic of lithium iron phosphate batteries for electric vehicles as objects, the use of GA (genetic algorithms) according to fitness function of Adaptive adjustment of parameters the values proposed a SVM (support vector machine) networks of intelligent prediction method and feasibility

Subject to electric cars with lithium iron phosphate as a research object, using GA (genetic algorithm) based on the value of fitness function parameters of the adaptive proposed SVM (support vector machine) network of intelligent forecasting methods, and through simulation experiments the feasibili