Connectionists: NEURAL NETWORKS, July 2017

[DeLiang Wang]

Neural Networks - Volume 91, July 2017
http://www.journals.elsevier.com/neural-networks

Hopfield networks as a model of prototype-based category learning: A 
method to distinguish trained, spurious, and prototypical attractors
Chris Gorman, Anthony Robins, Alistair Knott

Recursive least mean P-power Extreme Learning Machine
Jing Yang, Feng Ye, Hai-Jun Rong, Badong Chen

A framework for parallel and distributed training of neural networks
Simone Scardapane, Paolo Di Lorenzo

Lagrange alpha-exponential stability and alpha-exponential convergence 
for fractional-order complex-valued neural networks
Jigui Jian, Peng Wan

Event-triggered H_infinity filtering for delayed neural networks via 
sampled-data
Emel Arslan, R. Vadivel, M. Syed Ali, Sabri Arik

Probabilistic lower bounds for approximation by shallow perceptron networks
Vera Kurkova, Marcello Sanguineti

Robust stability analysis of quaternion-valued neural networks with time 
delays and parameter uncertainties
Xiaofeng Chen, Zhongshan Li, Qiankun Song, Jin Hu, Yuanshun Tan

Spatiotemporal signal classification via principal components of 
reservoir states
Ashley Prater

A universal multilingual weightless neural network tagger via 
quantitative linguistics
Hugo C.C. Carneiro, Carlos E. Pedreira, Felipe M.G. Franca, Priscila 
M.V. Lima