Valverde-Albacete Francisco J, Peláez-Moreno Carmen
Department of Signal Theory and Communications, Universidad Carlos III de Madrid, 28911 Leganés, Spain.
Entropy (Basel). 2019 Aug 8;21(8):780. doi: 10.3390/e21080780.
We set out to demonstrate that the Rényi entropies are better thought of as operating in a type of non-linear semiring called a positive semifield. We show how the Rényi's postulates lead to Pap's g-calculus where the functions carrying out the domain transformation are Rényi's information function and its inverse. In its turn, Pap's g-calculus under Rényi's information function transforms the set of positive reals into a family of semirings where "standard" product has been transformed into sum and "standard" sum into a power-emphasized sum. Consequently, the transformed product has an inverse whence the structure is actually that of a positive semifield. Instances of this construction lead to idempotent analysis and tropical algebra as well as to less exotic structures. We conjecture that this is one of the reasons why tropical algebra procedures, like the Viterbi algorithm of dynamic programming, morphological processing, or neural networks are so successful in computational intelligence applications. But also, why there seem to exist so many computational intelligence procedures to deal with "information" at large.
我们着手证明,雷尼熵最好被视为在一种称为正半域的非线性半环中起作用。我们展示了雷尼的假设如何导致帕普的g - 演算,其中执行域变换的函数是雷尼的信息函数及其逆函数。相应地,在雷尼信息函数下的帕普g - 演算将正实数集变换为一族半环,其中“标准”乘积被变换为和,“标准”和被变换为幂强调和。因此,变换后的乘积有一个逆元,所以其结构实际上是正半域的结构。这种构造的实例导致了幂等分析和热带代数以及一些不那么奇特的结构。我们推测,这就是为什么热带代数程序,如动态规划的维特比算法、形态处理或神经网络在计算智能应用中如此成功的原因之一。而且,这也是为什么似乎存在如此多处理“信息”的计算智能程序的原因。