It has many advantages compared to Article Neural Networks or other learning methods, for example the automatic structure selecting, overcoming the local minimum and over-fitting etc.
与神经网络等其它学习方法相比,它的结构通过自动优化的方法计算出来,并且避免了局部最小点、过学习等缺陷。
FNN efficiently maps the complex non-linear relationship between data by drill and rebound methods for its automatic learning, generation and fuzzy logic inference.
由于模糊神经网络具有很强的自学习、泛化和模糊逻辑推理功能,它可以有效地映射出钻芯、回弹数据间复杂的非线性关系。
FNN efficiently maps the complex non-linear relationship between data by drill and rebound methods for its automatic learning, generation and fuzzy logic inference.
由于模糊神经网络具有很强的自学习、泛化和模糊逻辑推理功能,它可以有效地映射出钻芯、回弹数据间复杂的非线性关系。
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