This paper presents CPBPNN, a MapReduce based backpropagation neural network algorithm using cascading model. The algorithm mainly contributes to three phases, the speedup in the training phase, the speedup in the classification phase, and the precision improvement in the classification phase.
Apr 27, 2016
And also to improve the algorithm performance in terms of precision, this paper creates a cascading model based classification approach, which helps to refine ...
A parallelized BPNN based on MapReduce computing model which supplies advanced features including fault tolerance, data replication, and load balancing is ...
People also ask
Can backpropagation be parallelized?
How do you parallelize a neural network?
What is an artificial neural network in machine learning?
What is the process of modifying the weights in the connections between network layers called?
Back-propagated Neural Network (BPNN) is a popular supervised learning technique utilized in machine learning and deep learning to extract knowledge.
Aug 29, 2019 · Xu, ''Parallelizing backpropagation neural net- work using MapReduce and cascading model,'' Comput. Intell. Neurosci., vol. 2016, no. 2 ...
Sep 15, 2023 · Abstract—This paper presents a case for exemplar parallelism of neural networks using Go as parallelization framework. Further.
Parallelizing Backpropagation Neural Network Using MapReduce and Cascading Model ... Neural Networks in MapReduce on High-Dimensional Big Datasets With ...
Apr 30, 2019 · The advantage of back- propagation is the demonstration that layered networks using differentiable models could perform nontrivial calculations.
... Parallelizing backpropagation neural network using MapReduce and cascading model. ... parallelization of back propagation neural network in MapReduce and Spark.
In the previous chapter we reviewed the di erent ANN paradigms, their learning characteristics etc. Since feedforward neural networks with back-propagation ...