A fast learning algorithm of neural network with tunable activation function

@article{Shen2004AFL,
  title={A fast learning algorithm of neural network with tunable activation function},
  author={Yanjun Shen and Bingwen Wang},
  journal={Science in China Series F: Information Sciences},
  year={2004},
  volume={47},
  pages={126-136}
}
This paper presents a modified structure of a neural network with tunable activation function and provides a new learning algorithm for the neural network training. Simulation results of XOR problem, Feigenbaum function, and Henon map show that the new algorithm has better performance than BP (back propagation) algorithm in terms of shorter convergence time and higher convergence accuracy. Further modifications of the structure of the neural network with the faster learning algorithm… CONTINUE READING
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