Spiking neural networks (SNNs) offer many advantages over traditional artificial neural networks (ANNs) such as biological plausibility, fast information processing, and energy efficiency. Although SN

NIAID Data Ecosystem30

Performance and generalization capabilities of neural network controllers evolved with the SSS method in the Randomly Varying Initial States condition by using a variable number of trials.

神经网络控制

控制泛化性能评估

Performance and generalization capabilities of neural network controllers evolved with the SSS method in the Randomly Varying Initial States condition by using a variable number of trials.

NIAID Data Ecosystem20

Data for Figure 1 in Structural analysis of the states within the bump regions in $^{10}_\Lambda$Be spectrum via Control Neural Network.

核物理

神经网络控制

Data for Figure 1 in Structural analysis of the states within the bump regions in $^{10}_\Lambda$Be spectrum via Control Neural Network.This file contains only the theoretical spectrum of $^{10}_\Lamb

DataCite Commons2025-08-20 更新50

Neural Networks based Shunt Hybrid Active Power Filter Design for Harmonic Elimination

电力谐波抑制

神经网络滤波器设计

MATLAB files for the simulations along with datasets used to train neural networks. The zip file contain a 'Readme' file to run the simulations

NIAID Data Ecosystem20