Results 31 to 40 of about 92,424 (280)

Optical Power Prediction Method Based on Double Pooling Multilayer Perception

open access: yesChengshi guidao jiaotong yanjiu
Objective In response to the situation where historical optical power data in metro communication systems is missing despite the sufficient historical related data, an optical power prediction method based on double pooling multilayer perceptron model is
Jing YANG   +4 more
doaj   +1 more source

Multilayer Perceptron: Architecture Optimization and Training

open access: yesInternational Journal of Interactive Multimedia and Artificial Intelligence, 2016
The multilayer perceptron has a large wide of classification and regression applications in many fields: pattern recognition, voice and classification problems. But the architecture choice has a great impact on the convergence of these networks.
Hassan Ramchoun   +3 more
doaj   +1 more source

Multilayer Perceptron Algebra

open access: yesCoRR, 2017
Artificial Neural Networks(ANN) has been phenomenally successful on various pattern recognition tasks. However, the design of neural networks rely heavily on the experience and intuitions of individual developers. In this article, the author introduces a mathematical structure called MLP algebra on the set of all Multilayer Perceptron Neural Networks ...
openaire   +2 more sources

Review and analysis one of the approaches to training the neural network model

open access: yesAdaptivni Sistemi Avtomatičnogo Upravlinnâ, 2021
The article provides an overview and analysis one of the approaches to training a neural network model. The list of requirements for training the model was created.
О. Бондар   +1 more
doaj   +1 more source

Automated classification of blasts in acute leukemia blood samples using HMLP network [PDF]

open access: yes, 2011
This paper presents a study on classification of blasts in acute leukemia blood samples using artificial neural network.In acute leukemia there are two major forms that are acute myelogenous leukemia (AML) and acute lymphocytic leukemia (ALL).Six ...
Abdul Nasir, A.S.   +3 more
core  

Generalizing with perceptrons in case of structured phase- and pattern-spaces

open access: yes, 1997
We investigate the influence of different kinds of structure on the learning behaviour of a perceptron performing a classification task defined by a teacher rule. The underlying pattern distribution is permitted to have spatial correlations.
Anlauf J K   +24 more
core   +2 more sources

Solution‐Processed Two‐Dimensional Indium Oxide on Sodium‐Embedded Alumina for Reconfigurable Optoelectronic Synaptic Transistors

open access: yesAdvanced Functional Materials, EarlyView.
Wafer‐scale two‐dimensioanl In2Se3 oxidized into InOx on sodium‐embedded beta‐alumina enables multifunctional reconfigurable electronics. Sodium ions accumulate within distinct spatial distribution under drain‐controlle and gate‐controlled operation. Drain‐control operation gives controllability of ultraviolet‐driven optoelectronic synaptic conductance
Jinhong Min   +13 more
wiley   +1 more source

Soil organic carbon variability assessment using satellite imagery and artificial neural network

open access: yesThe Indian Journal of Agricultural Sciences
The present study was carried out during 2022–2024 at Indian Institute of Information Technology, Nagpur, Maharashtra to evaluate SOC stocks in the Dhamtari district of Chhattisgarh, India.
SHYAMAL MUNDADA, POOJA JAIN
doaj   +1 more source

Experimental Analysis of Neural Approaches for Synthetic Angle-of-Attack Estimation

open access: yesInternational Journal of Aerospace Engineering, 2021
Synthetic sensors enable flight data estimation without devoted physical sensors. Within modern digital avionics, synthetic sensors can be implemented and used for several purposes such as analytical redundancy or monitoring functions.
Angelo Lerro   +3 more
doaj   +1 more source

PolyGraph – Flexible, Biocompatible & Electrically Optimized Graphene‐Polymer Composites for Next‐Generation Neural Interfaces

open access: yesAdvanced Healthcare Materials, EarlyView.
PolyGraph, a flexible graphene‐polycaprolactone nanocomposite, unites conductivity, biocompatibility, and processability for next‐generation neural interfaces. Fabricated into microneedle arrays with ultra‐flexible backings, PolyGraph enables bidirectional neuronal recording and stimulation in brain tissue, advancing brain‐computer interface (BCI) and ...
Jack Maughan   +12 more
wiley   +1 more source

Home - About - Disclaimer - Privacy