Journal ArticleDOI
Neural networks
Alberto Prieto,Beatriz Prieto,Eva M. Ortigosa,Eduardo Ros,Francisco J. Pelayo,Julio Ortega,Ignacio Rojas +6 more
TLDR
The development and evolution of different topics related to neural networks is described showing that the field has acquired maturity and consolidation, proven by its competitiveness in solving real-world problems.About:
This article is published in Neurocomputing.The article was published on 2016-11-19. It has received 184 citations till now. The article focuses on the topics: Neural modeling fields & Nervous system network models.read more
Citations
More filters
Journal ArticleDOI
Novel deep genetic ensemble of classifiers for arrhythmia detection using ECG signals
TL;DR: The proposed work based on 744 segments of ECG signal is obtained from the MIT-BIH Arrhythmia database and can be applied in cloud computing or implemented in mobile devices to evaluate the cardiac health immediately with highest precision.
Journal ArticleDOI
Recommendation system based on deep learning methods: a systematic review and new directions
TL;DR: This paper is the first SLR specifically on the deep learning based RS to summarize and analyze the existing studies based on the best quality research publications and indicated that autoencoder models are the most widely exploited deep learning architectures for RS followed by the Convolutional Neural Networks and the Recurrent Neural Networks.
Journal ArticleDOI
Deep learning approach for microarray cancer data classification
TL;DR: A deep feedforward method to classify the given microarray cancer data into a set of classes for subsequent diagnosis purposes using a 7-layer deep neural network architecture having various parameters for each dataset is developed.
Journal ArticleDOI
Supervised learning in spiking neural networks: A review of algorithms and evaluations
TL;DR: This article presents a comprehensive review of supervised learning algorithms for spiking neural networks and evaluates them qualitatively and quantitatively, and provides five qualitative performance evaluation criteria and presents a new taxonomy for supervisedLearning algorithms depending on these five performance evaluated criteria.
Journal ArticleDOI
Non-iterative and Fast Deep Learning: Multilayer Extreme Learning Machines
TL;DR: A thorough review on the development of ML-ELMs, including stacked ELM autoencoder, residual ELM, and local receptive field based ELM (ELM-LRF), as well as address their applications, and the connection between random neural networks and conventional deep learning.
References
More filters
Journal ArticleDOI
NeuVision: A novel simulation environment to model spontaneous and stimulus-evoked activity of large-scale neuronal networks
Marcello Mulas,Paolo Massobrio +1 more
TL;DR: It is found that the simulated results qualitatively fit experimental recordings obtained by recently developed high density multi-electrode transducers for in vitro applications.
Journal ArticleDOI
Parallel Coarse Grain Computing of Boltzmann Machines
TL;DR: A parallel implementation of a modified Boltzmann machine where the neurons are distributed among the processors of the multicomputer, which asynchronously compute the evolution of their subset of neurons using values for the other neurons that might not be updated, thus reducing the communication requirements.
Journal ArticleDOI
Natural Computing Paradigms for Predictable Nanoelectronics
Book ChapterDOI
Strategies for the Optimization of Large Scale Networks of Integrate and Fire Neurons
TL;DR: It is concluded that the simulation of large models of I & F neurons in real time is feasible within the current technology.