Results 101 to 110 of about 25,182 (261)
Using Hybrid Artificial Neural Networks of Back Propagation and Kohonen Self Organizing Map (SOM) to Predict Stock Prices [PDF]
Muṭāli̒āt-i Mudīriyyat-i Ṣan̒atī, 2010 In this paper, a hybrid model of artificial neural networks is designed and used to evaluate the prediction ability of this hybrid model with individual Back Propagation feed forward.
Payam Hanafizadeh, Abolfazl Jafari
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Potential Global Invasion Risk of Scale Insect Pests Based on a Self-Organizing Map. [PDF]
Insects, 2023 Deng J +8 more
europepmc +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective This study aimed to investigate the immunological response to influenza vaccination, the incidence and severity of influenza infection, and the side effects of the vaccination in patients with ischemic stroke. Methods This prospective observational study was conducted between 2023 and 2024 at Ramathibodi Hospital.
Achiraya Pakngao +5 more
wiley +1 more source
A3SOM, abstained explainable semi-supervised neural network based on self-organizing map. [PDF]
PLoS One, 2023 Creux C, Zehraoui F, Hanczar B, Tahi F.
europepmc +1 more source
K-Dynamical Self Organizing Maps
, 2005 Neural maps are a very popular class of unsupervised neural networks that project high-dimensional data of the input space onto a neuron position in a low-dimensional output space grid. It is desirable that the projection effectively preserves the structure of the data. In this paper we present a hybrid model called K-Dynamical Self Organizing Maps (
Carolina Saavedra +3 more
openaire +3 more sources
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Introduction Glucagon‐like peptide‐1 receptor agonists (GLP‐1 RAs) have demonstrated significant weight‐reducing effects and may offer benefits in idiopathic intracranial hypertension (IIH); however, recent concerns about the risk of non‐arteritic anterior ischemic optic neuropathy (NAION) have emerged.
Faisal A. Al‐Harbi +9 more
wiley +1 more source
An Efficient Brain Tumor Segmentation Method Based on Adaptive Moving Self-Organizing Map and Fuzzy K-Mean Clustering. [PDF]
Sensors (Basel), 2023 Dalal S +9 more
europepmc +1 more source
Multimodal FeedForward Self-organizing Maps
, 2005 We introduce a novel system of interconnected Self- Organizing Maps that can be used to build feedforward and recurrent networks of maps. Prime application of interconnected maps is in modelling systems that operate with multimodal data as for example in visual and auditory cortices and multimodal association areas in cortex.
Andrew P. Paplinski, Lennart Gustafsson
openaire +3 more sources
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To clarify the clinical relevance of dopamine transporter single‐photon emission computed tomography (DAT‐SPECT) abnormalities in amyotrophic lateral sclerosis (ALS), with a prespecified focus on sex‐stratified associations with disease progression and short‐term prognosis.
Tomoya Kawazoe +7 more
wiley +1 more source
SSR-based genetic analysis of sweet corn inbred lines using artificial neural networks
Crop Breeding and Applied Biotechnology, 2018 Studies on genetic diversity and population structure provide basic information at the molecular level, which is a key input for breeding programs of crop species.
Fernando Ferreira +3 more
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