Results 81 to 90 of about 60,295 (249)
Learning Vector Quantization: generalization ability and dynamics of competing prototypes
, 2007 International Workshop on Self-Organizing Maps : Proceedings, The 6th International Workshop on Self-Organizing Maps (WSOM 2007)
Witoelar, Aree +2 more
openaire +6 more sources
Review of Memristors for In‐Memory Computing and Spiking Neural Networks
Advanced Intelligent Systems, EarlyView.Memristors uniquely enable energy‐efficient, brain‐inspired computing by acting as both memory and synaptic elements. This review highlights their physical mechanisms, integration in crossbar arrays, and role in spiking neural networks. Key challenges, including variability, relaxation, and stochastic switching, are discussed, alongside emerging ...
Mostafa Shooshtari +2 more
wiley +1 more source
Diagnosa Penyakit Demam Berdarah Dengue (DBD) menggunakan Metode Learning Vector Quantization (LVQ)
JISKA (Jurnal Informatika Sunan Kalijaga), 2020 Dengue Hemorrhagic Fever is a disease that is carried and transmitted through the mosquito Aedes aegypti and Aedes albopictus which is commonly found in tropical and subtropical regions such as in Indonesia to Northern Australia.
Firman Tawakal, Ahmedika Azkiya
doaj +1 more source
Advanced Intelligent Systems, EarlyView.A 48 × 48 ferroelectric tunnel junction (FTJ) crossbar array is fabricated and optimized through postmetallization annealing, enabling stable polarization switching and reliable multilevel conductance programming. Half‐bias operation, accurate vector–matrix multiplication with less than 1% error, and CIFAR‐10 image classification with near‐software ...
Sangwook Youn, Hwiho Hwang, Hyungjin Kim
wiley +1 more source
Using of Learning Vector Quantization Network for Pan Evaporation Estimation
Tikrit Journal of Engineering Sciences, 2009 A modern technique is presented to study the evaporation process which is considered as an important component of the hydrological cycle. The Pan Evaporation depth is estimated depending upon four metrological factors viz. (temperature, relative humidity,
Kamel A. Abdulmuhsin +1 more
doaj +1 more source
Does Non-linearity Matter in Retail Credit Risk Modeling? [PDF]
In this research we propose a new method for retail credit risk modeling. In order to capture possible non-linear relationships between credit risk and explanatory variables, we use a learning vector quantization (LVQ) neural network.
Davorin Kracun +2 more
core
Advanced Intelligent Systems, EarlyView.This work presents a hybrid model for predicting the electrical characteristics of fin‐shaped field‐effect transistor devices and SRAM with line edge roughness. The model consists of a convolutional neural network (CNN) and an analytical model that simulates the electrical characteristics of transistors using the outputs of CNN, enabling fast and ...
Jaehyuk Lim +4 more
wiley +1 more source
OPTIMASI FUZZY LEARNING VECTOR QUANTIZATION UNTUK SISTEM PENGENALAN AROMA CAMPURAN
Jurnal Ilmu Komputer dan Informasi, 2012 Kehandalan dari sebuah sistem pengenalan aroma tidak hanya tergantung pada kemampuan perangkat sensor melainkan juga tergantung pada sistem pengenalan pola yang menggunakan jaringan syaraf tiruan. Struktur jaringan syaraf yang sederhana memiliki performa
Wisnu Jatmiko +2 more
doaj +1 more source
Advanced Intelligent Systems, EarlyView.Quantization‐aware training creates resource‐efficient structured state space sequential S4(D) models for ultra‐long sequence processing in edge AI hardware. Including quantization during training leads to efficiency gains compared to pure post‐training quantization.
Sebastian Siegel +5 more
wiley +1 more source
Retracted: Using an Optimized Learning Vector Quantization- (LVQ-) Based Neural Network in Accounting Fraud Recognition. [PDF]
Comput Intell Neurosci, 2023 Intelligence And Neuroscience C.
europepmc +1 more source