Results 31 to 40 of about 190,933 (296)
Models of neural networks with fuzzy activation functions [PDF]
, 2017 This paper investigates the application of a new form of neuron activation functions that are based on the fuzzy membership functions derived from the theory of fuzzy systems.
Korikov, Anatoly Mikhailovich +1 more
core +1 more source
An improved advertising CTR prediction approach based on the fuzzy deep neural network. [PDF]
PLoS ONE, 2018 Combining a deep neural network with fuzzy theory, this paper proposes an advertising click-through rate (CTR) prediction approach based on a fuzzy deep neural network (FDNN).
Zilong Jiang, Shu Gao, Mingjiang Li
doaj +1 more source
Voltage stability analysis of load buses in electric power system using adaptive neuro-fuzzy inference system (anfis) and probabilistic neural network (pnn) [PDF]
, 2017 This paper presents the application of neural networks for analysing voltage stability of load buses in electric power system. Voltage stability margin (VSM) and load power margin (LPM) are used as the indicators for analysing voltage stability.
Ab Ghani, Ahmad Raqib +4 more
core +1 more source
Frontiers in Medicine, 2020 Skin lesion border irregularity, which represents the B feature in the ABCD rule, is considered one of the most significant factors in melanoma diagnosis.
Abder-Rahman Ali +5 more
doaj +1 more source
Advanced Healthcare Materials, EarlyView.Cerebral organoids are transforming brain research, yet the field remains fragmented. This comprehensive systematic review maps 738 studies published between 2014 and 2024 to uncover trends, gaps, and opportunities across neuroscience. Introducing OrganoidMap—an interactive, open‐access platform to explore and compare models—this work enables ...
Anna Wolfram +10 more
wiley +1 more source
IEEE Access, 2023 Due to the limitations of traditional time series models in handling semantic values and small-scale data, the concept of fuzzy time series forecasting has been introduced in academia.
Boyang Wang +6 more
doaj +1 more source
A Neural Network Realization of Fuzzy ART [PDF]
, 1991 A neural network realization of the fuzzy Adaptive Resonance Theory (ART) algorithm is described. Fuzzy ART is capable of rapid stable learning of recognition categories in response to arbitrary sequences of analog or binary input patterns.
Carpenter, Gail A. +2 more
core +1 more source
Advanced Materials, EarlyView.AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll +19 more
wiley +1 more source
Neural Network Identification and Controller on Electro-hydraulic Servo System
Journal of Harbin University of Science and Technology, 2017 The neural networks system identification was used in nonlinear model on valve-control-cylinder electro-hydraulic position servo system. The three layers BP neural network weights and threshold were optimized using LM genetic algorithm，the relationship ...
HAN Gui-hua, WANG Peng-fei, ZHANG Ci-jun
doaj +1 more source
Advanced Materials, EarlyView.A fully flexible ion‐gel‐gated graphene‐channel transistor driven by a triboelectric nanogenerator enables self‐powered tactile sensing and synaptic learning. Mimicking spike‐rate‐dependent plasticity, the device exhibits frequency‐selective potentiation and depression, supporting rate‐coded neuromorphic computation even under flex.
Hanseong Cho +3 more
wiley +1 more source