Results 91 to 100 of about 61,624 (324)
Generalized Learning Vector Quantization for Classification in Randomized Neural Networks and Hyperdimensional Computing [PDF]
, 2021 Cameron Diao +3 more
openalex +1 more source
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
Diagnosa Penyakit dengan Gejala Demam Menggunakan Learning Vector Quantization (LVQ)
Jurnal Informatika dan Multimedia, 2017 Terdapat beberapa penyakit dengan gejala demam yang sulit untuk dibedakan yaitu Demam tifoid (tifus), Demam berdarah dengue (DBD), dan Malaria. Kesulitan dalam mendeteksi lebih awal ketiga penyakit ini karena memiliki gejala klinis yang hampir sama ...
Dian Eka Ratnawati, Marji Marji
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.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
Advanced Intelligent Systems, EarlyView.A fully integrated analog processing‐in‐memory system is demonstrated, combining charge‐trap flash synapse arrays with a successive integration‐and‐rescaling neuron circuit. The architecture performs bit‐sliced analog accumulation with high linearity and low power, achieving efficient and scalable analog in‐memory computing and bridging device‐level ...
Sojoong Kim +4 more
wiley +1 more source
Medical diagnosis using artificial neural networks
Mathematics in Applied Sciences and EngineeringMedical diagnosis using Artificial Neural Networks (ANN) and computer-aided diagnosis with deep learning is currently a very active research area in medical science.
Afsana Begum +2 more
doaj +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
Image segmentation using fuzzy LVQ clustering networks [PDF]
In this note we formulate image segmentation as a clustering problem. Feature vectors extracted from a raw image are clustered into subregions, thereby segmenting the image.
Bezdek, James C. +2 more
core +1 more source
A priori bounds for the generalised parabolic Anderson model
Communications on Pure and Applied Mathematics, EarlyView.Abstract We show a priori bounds for solutions to (∂t−Δ)u=σ(u)ξ$(\partial _t - \Delta) u = \sigma (u) \xi$ in finite volume in the framework of Hairer's Regularity Structures [Invent Math 198:269–504, 2014]. We assume σ∈Cb2(R)$\sigma \in C_b^2 (\mathbb {R})$ and that ξ$\xi$ is of negative Hölder regularity of order −1−κ$- 1 - \kappa$ where κ<κ¯$\kappa <
Ajay Chandra +2 more
wiley +1 more source