Also, the influence on learning convergence from compression mapping in those CMAC models with actual neurons is discussed.
对于存在实际层神经元的CMAC模型，讨论了压缩映射对网络学习收敛性的影响。
The paper describes this method from metric space and compression-mapping, and presents its application in mathematical analysis.
本文利用度量空间及压缩映射的观点来描述这一方法，再给出它在数学分析中的某些应用。
The paper describes this method from metric space and compression-mapping, and presents its application in mathematical analysis.
本文利用度量空间及压缩映射的观点来描述这一方法，再给出它在数学分析中的某些应用。
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