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Results for parallel neural network

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14 papers · ranked by Valyu relevance

01
PPubMed22 Nov 2015
MapReduce Based Parallel Neural Networks in Enabling Large Scale Machine Learning
Yang Liu, Jie Yang, Yuan Huang, Lixiong Xu + 2 more
Artificial neural networks (ANNs) have been widely used in pattern recognition and classification applications. However, ANNs are notably slow in computation especially when the size of data is large. Nowadays, big data has received a momentum from both industry and academia. To fulfill the potentials of ANNs for big…
88relevance
02
PPubMed15 Jun 2016
Big Data: A Parallel Particle Swarm Optimization-Back-Propagation Neural Network Algorithm Based on MapReduce PSO-BP Neural Network Algorithm
Jianfang Cao, Hongyan Cui, Hao Shi, Lijuan Jiao + 1 more
A back-propagation (BP) neural network can solve complicated random nonlinear mapping problems; therefore, it can be applied to a wide range of problems. However, as the sample size increases, the time required to train BP neural networks becomes lengthy. Moreover, the classification accuracy decreases as well. To…
87relevance
03
PPubMed4 Jul 2024
Parallel Synapses with Transmission Nonlinearities Enhance Neuronal Classification Capacity
Yuru Song, Marcus K. Benna
Cortical neurons often establish multiple synaptic contacts with the same postsynaptic neuron. To avoid functional redundancy of these parallel synapses, it is crucial that each synapse exhibits distinct computational properties. Here we model the current to the soma contributed by each synapse as a sigmoidal…
84relevance
04
PPubMed16 Jan 2025
Parallel convolutional neural network and empirical mode decomposition for high accuracy in motor imagery EEG signal classification Motor imagery EEG signal classification using parallel convolutional neural network
Jaipriya D., Sriharipriya K. C., Saeed Mian Qaisar
In recent years, the utilization of motor imagery (MI) signals derived from electroencephalography (EEG) has shown promising applications in controlling various devices such as wheelchairs, assistive technologies, and driverless vehicles. However, decoding EEG signals poses significant challenges due to their…
84relevance
05
PPubMed9 May 2025
Parallel synapses with transmission nonlinearities enhance neuronal classification capacity Nonlinear parallel synapses enhance neuronal classification capacity
Yuru Song, Marcus K. Benna, Jonathan David Touboul
Cortical neurons often establish multiple synaptic contacts with the same postsynaptic neuron. To avoid functional redundancy of these parallel synapses, it is crucial that each synapse exhibits distinct computational properties. Here we model the current to the soma contributed by each synapse as a sigmoidal…
83relevance
06
PPubMed15 Jan 2022
Score Prediction of Sports Events Based on Parallel Self-Organizing Nonlinear Neural Network
Junyao Ling
This paper introduces the basic concepts and main characteristics of parallel self-organizing networks and analyzes and predicts parallel self-organizing networks through neural networks and their hybrid models. First, we train and describe the law and development trend of the parallel self-organizing network through…
82relevance
07
PPubMed1 Dec 2016
A Parallel Adaboost-Backpropagation Neural Network for Massive Image Dataset Classification
Jianfang Cao, Lichao Chen, Min Wang, Hao Shi + 1 more
Image classification uses computers to simulate human understanding and cognition of images by automatically categorizing images. This study proposes a faster image classification approach that parallelizes the traditional Adaboost-Backpropagation (BP) neural network using the MapReduce parallel programming model.…
81relevance
08
PPubMed13 Dec 2017
Multilayer perceptron architecture optimization using parallel computing techniques Multilayer perceptron architecture optimization
Wilson Castro, Jimy Oblitas, Roberto Santa-Cruz, Himer Avila-George + 1 more
'Alexandre G. de Brevern'] The objective of this research was to develop a methodology for optimizing multilayer-perceptron-type neural networks by evaluating the effects of three neural architecture parameters, namely, number of hidden layers (HL), neurons per hidden layer (NHL), and activation function type (AF), on…
81relevance
09
PPubMed12 Jul 2024
Parallel ensemble of a randomization-based online sequential neural network for classification problems using a frequency criterion
Elkin Gelvez-Almeida, Ricardo J. Barrientos, Karina Vilches-Ponce, Marco Mora
'Marco Mora'] Randomization-based neural networks have gained wide acceptance in the scientific community owing to the simplicity of their algorithm and generalization capabilities. Random vector functional link (RVFL) networks and their variants are a class of randomization-based neural networks. RVFL networks have…
81relevance
10
PPubMed3 Jan 2016
Software Design Challenges in Time Series Prediction Systems Using Parallel Implementation of Artificial Neural Networks
Narayanan Manikandan, Srinivasan Subha
Software development life cycle has been characterized by destructive disconnects between activities like planning, analysis, design, and programming. Particularly software developed with prediction based results is always a big challenge for designers. Time series data forecasting like currency exchange, stock prices…
80relevance
11
PPubMed15 Oct 2018
A GPU-based algorithm for fast node label learning in large and unbalanced biomolecular networks
Marco Frasca, Giuliano Grossi, Jessica Gliozzo, Marco Mesiti + 4 more
'Marco Notaro' 'Paolo Perlasca' 'Alessandro Petrini' 'Giorgio Valentini'] Background Several problems in network biology and medicine can be cast into a framework where entities are represented through partially labeled networks, and the aim is inferring the labels (usually binary) of the unlabeled part. Connections…
77relevance
12
PPubMed21 Oct 2024
Brain-Inspired Architecture for Spiking Neural Networks
Fengzhen Tang, Junhuai Zhang, Chi Zhang, Lianqing Liu + 1 more
'Amin Hekmatmanesh'] Spiking neural networks (SNNs), using action potentials (spikes) to represent and transmit information, are more biologically plausible than traditional artificial neural networks. However, most of the existing SNNs require a separate preprocessing step to convert the real-valued input into spikes…
77relevance
13
PPubMed11 Sep 2024
Oscillations in an artificial neural network convert competing inputs into a temporal code Oscillations in ANN convert competing inputs into a temporal code
Katharina Duecker, Marco Idiart, Marcel van Gerven, Ole Jensen + 1 more
'Stefano Panzeri'] The field of computer vision has long drawn inspiration from neuroscientific studies of the human and non-human primate visual system. The development of convolutional neural networks (CNNs), for example, was informed by the properties of simple and complex cells in early visual cortex. However, the…
75relevance
14
PPubMed12 Aug 2020
A nondestructive testing method for soluble solid content in Korla fragrant pears based on electrical properties and artificial neural network LAN et al.
Haipeng Lan, Zhentao Wang, Hao Niu, Hong Zhang + 3 more
'Yurong Tang' 'Yang Liu'] Title: Abstract The detection of soluble solid content in Korla fragrant pear is a destructive and time-consuming endeavor. In effort to remedy this, a nondestructive testing method based on electrical properties and artificial neural network was established in this study. Specifically…
65relevance

Results for parallel neural network

MapReduce Based Parallel Neural Networks in Enabling Large Scale Machine Learning

Big Data: A Parallel Particle Swarm Optimization-Back-Propagation Neural Network Algorithm Based on MapReduce PSO-BP Neural Network Algorithm

Parallel Synapses with Transmission Nonlinearities Enhance Neuronal Classification Capacity

Parallel convolutional neural network and empirical mode decomposition for high accuracy in motor imagery EEG signal classification Motor imagery EEG signal classification using parallel convolutional neural network

Parallel synapses with transmission nonlinearities enhance neuronal classification capacity Nonlinear parallel synapses enhance neuronal classification capacity

Score Prediction of Sports Events Based on Parallel Self-Organizing Nonlinear Neural Network

A Parallel Adaboost-Backpropagation Neural Network for Massive Image Dataset Classification

Multilayer perceptron architecture optimization using parallel computing techniques Multilayer perceptron architecture optimization

Parallel ensemble of a randomization-based online sequential neural network for classification problems using a frequency criterion

Software Design Challenges in Time Series Prediction Systems Using Parallel Implementation of Artificial Neural Networks

A GPU-based algorithm for fast node label learning in large and unbalanced biomolecular networks

Brain-Inspired Architecture for Spiking Neural Networks

Oscillations in an artificial neural network convert competing inputs into a temporal code Oscillations in ANN convert competing inputs into a temporal code

A nondestructive testing method for soluble solid content in Korla fragrant pears based on electrical properties and artificial neural network LAN et al.

MapReduce Based Parallel Neural Networks in Enabling Large Scale Machine Learning

Big Data: A Parallel Particle Swarm Optimization-Back-Propagation Neural Network Algorithm Based on MapReduce PSO-BP Neural Network Algorithm

Parallel Synapses with Transmission Nonlinearities Enhance Neuronal Classification Capacity

Parallel convolutional neural network and empirical mode decomposition for high accuracy in motor imagery EEG signal classification Motor imagery EEG signal classification using parallel convolutional neural network

Parallel synapses with transmission nonlinearities enhance neuronal classification capacity Nonlinear parallel synapses enhance neuronal classification capacity

Score Prediction of Sports Events Based on Parallel Self-Organizing Nonlinear Neural Network

A Parallel Adaboost-Backpropagation Neural Network for Massive Image Dataset Classification

Multilayer perceptron architecture optimization using parallel computing techniques Multilayer perceptron architecture optimization

Parallel ensemble of a randomization-based online sequential neural network for classification problems using a frequency criterion

Software Design Challenges in Time Series Prediction Systems Using Parallel Implementation of Artificial Neural Networks

A GPU-based algorithm for fast node label learning in large and unbalanced biomolecular networks

Brain-Inspired Architecture for Spiking Neural Networks

Oscillations in an artificial neural network convert competing inputs into a temporal code Oscillations in ANN convert competing inputs into a temporal code

A nondestructive testing method for soluble solid content in Korla fragrant pears based on electrical properties and artificial neural network LAN et al.