one of the problems associated with adaptive fir filters in the identification of systems with long impulse responses, is their excessive computational complexity. recently a new kind of adaptive filters, based on three-level clipping of the input signal has been presented for reduction of their computational complexity. in this paper, a theoretical analysis of the steady-state misalignment of ...

We discuss the weight update rule in the Cascade Correlation neural net learning algorithm. The weight update rule implements gradient descent optimization of the correlation between a new hidden unit's output and the previous network's error. We present a derivation of the gradient of the correlation function and show that our resulting weight update rule results in slightly faster training. W...

1Behavioural and Metabolic Research Unit (BMRU), School of Human Kinetics, University of Ottawa, Ottawa, ON, Canada K1N 6N5 2 Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, QLD, Australia 3Endocrine Research Unit, Mayo Clinic, Rochester, MN, USA 4School of Kinesiology and Health Studies and Division of Endocrinology and Metabolism, Queen’s Universi...

We consider the minimum spanning tree problem in a setting where information about the edge weights of the given graph is uncertain. Initially, for each edge e of the graph only a set Ae, called an uncertainty area, that contains the actual edge weight we is known. The algorithm can ‘update’ e to obtain the edge weight we ∈ Ae. The task is to output the edge set of a minimum spanning tree after...

Abstract Memristors for neuromorphic computing have gained prominence over the years implementing synapses and neurons due to their nano-scale footprint reduced complexity. Several demonstrations show two-dimensional (2D) materials as a promising platform realization of transparent, flexible, ultra-thin memristive synapses. However, unsupervised learning in spiking neural network (SNN) facilita...