Critical echo state network dynamics by means of Fisher information maximization
Informazioni aggiuntive
Autori
Bianchi F. M.,
Livi L.,
Jenssen R.,
Alippi C.
Tipo
Contributo in atti di conferenza
Anno
2017
Lingua
Inglese
Atti di conferenza
2017 International Joint Conference on Neural Networks (IJCNN)
Mese
maggio
Parole chiave
Asymptotic stability, critical phase transitions, echo state network, edge of criticality, Electronic mail, ESN, Estimation, estimation theory, FIM, Fisher information matrix, Fisher information maximization, hidden neurons activations, high short term memory capacity, input signal, low prediction error, network dynamics, network theory (graphs), Neurons, optimisation, Probability density function, recurrent neural nets, Reservoirs, signal processing, statistics, Tuning, unsupervised approach, unsupervised learning
