Neural Networks and Reservoir Computing
Echo State Queueing Networks: a combination of Reservoir Computing and Random Neural Networks
36
On the application of reservoir computing networks for noisy image recognition
16
A Schmitt Trigger Based Oscillatory Neural Network for Reservoir Computing
9
SpaRCe : sparse reservoir computing
20
Introduction to Reservoir Computing Methods
52
Reservoir computing with output feedback
157
Enhanced reservoir computing with concatenation
34
Distributed Reservoir Computing with Sparse Readouts
22
Reservoir Computing for Learning in Structured Domains
215
On using reservoir computing for sensing applications: exploring environment-sensitive memristor networks
28
The role of structure and complexity on Reservoir Computing quality
14
Neural networks for forecasting daily reservoir inflows
10
Echo State Property of Deep Reservoir Computing Networks
22
Computing with noise in spiking neural networks
201
Inflow forecasting using Artificial Neural Networks for reservoir operation
6
Parallel Computing and Neural Networks in Behavioral Modeling
62
The Use of Neural Networks in the Cloud Computing Environment
6
Differentiable reservoir computing
62
Reservoir Computing in Materio
260
Production Forecasting of Petroleum Reservoir applying Higher Order Neural Networks (HONN) with Limited Reservoir Data
13