A new Fruit Fly Optimization Algorithm: Taking the financial distress model a...

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A new Fruit Fly Optimization Algorithm: Taking the fifinancial distress model as an example

The treatment of an optimization problem is a problem that is commonly researched and discussed by
8 z( ~( A! O5 l6 sscholars from all kinds of fifields. If the problem cannot be optimized in dealing with things, usually lots
of human power and capital will be wasted, and in the worst case, it could lead to failure and wasted
7 ]: M; o  Q0 T( o: ]1 _2 Gefforts. Therefore, in this article, a much simpler and more robust optimization algorithm compared with
3 i( M9 L' c' e" \! Y- ^the complicated optimization method proposed by past scholars is proposed; the Fruit Fly Optimization
3 Z2 Q2 E) ?/ B( T3 xAlgorithm. In this article, throughout the process of fifinding the maximal value and minimal value of a
+ l) ^9 G6 }+ |- U  j- Yfunction, the function of this algorithm is tested repeatedly, in the mean time, the population size and
characteristic is also investigated. Moreover, the fifinancial distress data of Taiwan’s enterprise is further
" t" \! K$ _! \; F1 g+ m" pcollected, and the fruit flfly algorithm optimized General Regression Neural Network, General Regression
$ g( Q" d# p. Q5 pNeural Network and Multiple Regression are adopted to construct a fifinancial distress model. It is found in
9 L0 O8 c, `( W2 _+ e) C0 P$ Zthis article that the RMSE value of the Fruit Fly Optimization Algorithm optimized General Regression
Neural Network model has a very good convergence, and the model also has a very good classifification
and prediction capability.

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NNNei256

哎呀呀，上英文 了