A New Cascade-Correlation Growing Deep Learning Neural Network Algorithm

In this paper, a proposed algorithm that dynamically changes the neural network structure is presented. The changed based on some features in cascade correlation algorithm. Cascade an important used to solve actual problem by artificial networks as new architecture and supervised learning This process optimizes architectures of which intends accelerate produce better performance generalization. Many researchers have date several growing algorithms optimize feedforward architectures. has been tested various medical data sets. results prove method evaluate accuracy flexibility resulting from it.