We propose a general-purpose stochastic optimization algorithm, the so-called annealing stochastic approximation Monte Carlo (ASAMC) algorithm, for neural network training. ASAMC c...
Since the presentation of the backpropagation algorithm, a vast variety of improvements of the technique for training a feed forward neural networks have been proposed. This articl...
We comment on the learning properties of the fuzzy backpropagation algorithm introduced in Stoeva and Nikov (Fuzzy Sets and Systems 112 (2000) 27). c 2001 Elsevier Science B.V. Al...
Abstract—This paper presents a novel study on how to distribute neural networks in a wireless sensor networks (WSNs) such that the energy consumption is minimized while improving...