Ruchi Sehrawat

We don’t have enough information about this author to calculate their statistics. If you think this is an error let us know.
Learn More
On 17 learning task (12 function approximation and 5 real life regression problems), we compare the efficiency and efficacy of using asymmetric or anti-symmetric activation functions in sigmoidal feedforward artificial neural network training and usage. The result obtained in the experiment allows us to conclude that for networks trained using the batch(More)
On ten learning tasks (5 function approximation and 5 real life regression problems), we compare the effciency and efficacy of using asymmetric or anti-symmetric activation functions in sigmoidal feedforward artificial neural network training and usage. The result obtained in the experiment allows us to conclude that for networks trained using the improved(More)
  • 1