Results 111 to 120 of about 2,445,824 (337)
Computer Communication Network Fault Detection Based on Improved Neural Network Algorithm
Dong Sun+3 more
doaj +1 more source
Equivalence of Conventional and Modified Network of Generalized Neural Elements
The article is devoted to the analysis of neural networks consisting of generalized neural elements. The first part of the article proposes a new neural network model — a modified network of generalized neural elements (MGNE-network).
E. V. Konovalov
doaj +1 more source
ABSTRACT Objective To provide a comprehensive clinical and genetic characterization of individuals with arthrogryposis multiplex congenita (AMC), focusing on the distribution of genetic etiologies across the neuromuscular spectrum and comparing myogenic and neurogenic subtypes. Methods A total of 105 individuals with AMC were clinically and genetically
Florencia Pérez‐Vidarte+13 more
wiley +1 more source
Modular neural network overcomes the problem of monolithic structures of artificial neural networks. Generally modular neural network is an integration of smaller sub complete neural network models.
Manu Pratap Singh, Gunjan Singh
doaj
Backward masking, disinhibition, and hypothesized neural networks [PDF]
Daniel N. Robinson
openalex +1 more source
On Hiding Neural Networks Inside Neural Networks
Modern neural networks often contain significantly more parameters than the size of their training data. We show that this excess capacity provides an opportunity for embedding secret machine learning models within a trained neural network. Our novel framework hides the existence of a secret neural network with arbitrary desired functionality within a ...
Guo, Chuan+2 more
openaire +2 more sources
ABSTRACT Objective Despite the availability of effective therapies for Multiple Sclerosis (MS), the unpredictable nature of disease progression and the variability in individual treatment outcomes call for reliable biomarkers. This pilot study aims to investigate the potential of plasma circulating microRNAs (miRNAs) as predictive biomarkers for ...
Fortunata Carbone+19 more
wiley +1 more source
A hybrid neural network is proposed and implemented. The proposed network is a linear hierarchical network which consists of two subnetworks. The first subnetwork is based on Kohonen Self-Organizing Map. The second subnetwork is based on Learning Vector Quantization. The hybrid neural network is tested and used for Arabic phoneme recognizer.
openaire +3 more sources