Stochastic Neural Networks [chapter]

Xuerong Mao
2011 Stochastic Differential Equations and Applications  
Artificial neural networks are brain-like models of parallel computations and cognitive phenomena. We sample some basic results about neural networks as they relate to stochastic and statistical processes. Given the explosivo amount of material, only models bearing a stochastic component in the function or analysis are presented, such as Hoj^ field and feedforward nets, Boltanan machines and some recurrent networks. Basic algorithms for learning such as backpropagation and gradient descent are
more » ... ketched. A handfiíl of applications (associative memories, pattem recognition, time series forecast) aredescribed. Finally, some current trends in the field are discussed.
doi:10.1533/9780857099402.351 fatcat:ahbtvskc35c2npu4utxlxjbg7q