MapReduce Based Parallel Neural Networks in Enabling Large Scale Machine Learning
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 potentia...
Main Authors: | Liu, Yang, Yang, Jie, Huang, Yuan, Xu, Lixiong, Li, Siguang, Qi, Man |
---|---|
Format: | Online |
Language: | English |
Published: |
Hindawi Publishing Corporation
2015
|
Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4670636/ |
Similar Items
-
Parallelizing Backpropagation Neural Network Using MapReduce and Cascading Model
by: Liu, Yang, et al.
Published: (2016) -
“At scale” author name matching with Hadoop/MapReduce
by: James, Powell, et al.
Published: (2012) -
Long Read Alignment with Parallel MapReduce Cloud Platform
by: Al-Absi, Ahmed Abdulhakim, et al.
Published: (2015) -
Enabling Big Geoscience Data Analytics with a Cloud-Based, MapReduce-Enabled and Service-Oriented Workflow Framework
by: Li, Zhenlong, et al.
Published: (2015) -
Big Data: A Parallel Particle Swarm Optimization-Back-Propagation Neural Network Algorithm Based on MapReduce
by: Cao, Jianfang, et al.
Published: (2016)