… ADALINE-network-based PLL for position sensorless interior permanent magnet
synchronous motor drives[J]. IEEE Transactions on Power Electronics, 2016, 31(2): 1450-1460. …

… of network-based … optimization of the design of these uncertain complex systems is difficult
to achieve. By combining reinforcement learning, neural networks, and dynamic programming…

… the data re-processing technology, metaheuristic optimization … and proposes four new neural
network-based foresting models.… propagation neural network-based data-driven forecasting …

… is investigated based on the adaptive dynamic programming for continuous-time nonlinear
… is approximated by the radial basis function neural network based on the local states of the …

… the implicit LES (ILES), dynamic Smagorinsky model (DSM), and dynamic mixed model (DMM).
It is shown that artificial neural network-based methods have strong potentials for the …

… We also propose a neural network-based dynamic load balancing algorithm, called nn-dwrr
(neural network-based dynamic weighted round-robin), to dispatch a large number of client …

… The PID neural network-based decoupling control strategy can provide more stability with
faster response speed in pressure level of controlling system [12]. Furthermore, this controller …

… and performance had been proposed yet, such that each individual's utility is optimized. In
this thesis two different neural network based routing algorithms are proposed to tackle this …

… Deep convolutional neural network based regression approach for estimation of remaining
useful life[C]. The 21st International Conference on Database Systems for Advanced …