… Deep Neural Networks (DNNs) have improved … Self-Competitive Neural Network (SCNN).
To generate such samples, we pose the problem as an optimization task, where the network …

… Because self-organizing competitive neural network is an unsupervised self-competitive
algorithm, there is no need to train the network. So, only the testing samples are needed to put …

… SELF-COMPETITIVE GENETIC PROGRAMMING Multipass heuristics are a straightforward
… To cope with these challenges, we proposed a self-competitive GP (SCGP) algorithm to …

Self-competitive hindsight experience replay (SCHER) is an improved strategy proposed
based on the hindsight experience replay (HER) algorithm. The HER algorithm generates …

… problems, this paper proposes an algorithm called Self-competitive Particle Swarm Optimization
(ScPSO). ScPSO employs a particle self-competitive learning strategy to control particle …

… The CL has the configuration of a self-competitive layer, so the collector neuron that receives
the maximum stimulus in its spatial influence area (bottom framed zone with continuous …

… Motion-driven scene segmentation using neural networks has been addressed by several
… of this CL neuron. The CL is configured as a self-competitive layer: the collector neuron that …

… results based on self-competitive neural networks are different … The classification based on
the selfcompetitive neural network … 3 Classification based on self-competitive neural network …

… network is a single nc:ural centroid in a multichlster data set. The NUSD operate according
to the following "self - competitive" learning equation. Given a sample 2 EX , obtained …

… INTRODUCTION Advantages of quantum neural networks over their … neural meta-architecture
(ANMA) to account for a broader class of multidimensional and inherently selfcompetitive …