Results 131 to 140 of about 7,151,068 (329)
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
doaj
Brief review of self-organizing maps
2017 40th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO), 2017 As a particular type of artificial neural networks, self-organizing maps (SOMs) are trained using an unsupervised, competitive learning to produce a low- dimensional, discretized representation of the input space of the training samples, called a feature map. Such a map retains principle features of the input data.
openaire +2 more sources
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Facioscapulohumeral muscular dystrophy (FSHD) is one of the most debilitating and common muscular dystrophies. Despite its severity, no approved therapy exists for FSHD patients. However, several therapeutic candidates are currently under development, and some have recently entered clinical trials, marking the need for reliable ...
Mustafa Bilal Bayazit +11 more
wiley +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Neurochemical levels measured by brain MR spectroscopy (MRS) have been proposed as endpoints for clinical trials in early‐stage spinocerebellar ataxia (SCA) trials. We tested their trial‐readiness by quantifying neurochemicals in three affected brain regions in early‐stage cohorts of SCA2 and SCA3, examining their reproducibility in ...
James M. Joers +19 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
doaj
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
Digital Cognitive Testing in Mitochondrial Disease: Validity and Challenges for Clinical Trial Use
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Primary mitochondrial disease is a group of genetic disorders caused by pathogenic variants in nuclear or mitochondrial DNA, often resulting in progressive neurodegeneration and cognitive decline. Current management is primarily supportive, though recent research offers hope for disease‐modifying treatments in the future.
Oksana Pogoryelova +9 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
Self-organizing adaptive controllers : Application to the inverted pendulum [PDF]
, 2005 Proceedings of 5th Workshop on Self-Organizing Maps （WSOM05）, 2005年9月5日, Paris, FranceIn this paper, a novel framework of adaptive controller is proposed.
Furukawa, Tetsuo +11 more
core
Long‐Term Neurologic Exam Findings in People Diagnosed and Treated During Acute HIV Infection
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Evaluate clinical and laboratory correlates of abnormal neurologic exam findings after acute HIV infection (AHI). Methods Participants from the RV254/SEARCH 010 cohort in Bangkok underwent standardized neurologic examinations at Weeks 0 (AHI), 12, 96, and 288 following antiretroviral therapy (ART).
Kathryn B. Holroyd +118 more
wiley +1 more source