Contributions by metaplasticity to solving the catastrophic forgetting problem
Catastrophic forgetting (CF) refers to the sudden and severe loss of prior information in
learning systems when acquiring new information. CF has been an Achilles heel of standard …
learning systems when acquiring new information. CF has been an Achilles heel of standard …
Correction to TINS 1828 Contributions by metaplasticity to solving the Catastrophic Forgetting Problem:(Trends in Neurosciences, 45: 9 p: 656–666, 2022)
In the print and online PDF versions of the article, references [15–49] were unfortunately
missing due to a production error during late stages of article preparation. The references …
missing due to a production error during late stages of article preparation. The references …
A new growing pruning deep learning neural network algorithm (GP-DLNN)
During the last decade, a significant research progress has been drawn in both the
theoretical aspects and the applications of Deep Learning Neural Networks. Besides their …
theoretical aspects and the applications of Deep Learning Neural Networks. Besides their …
Evolving the topology of large scale deep neural networks
In the recent years Deep Learning has attracted a lot of attention due to its success in difficult
tasks such as image recognition and computer vision. Most of the success in these tasks is …
tasks such as image recognition and computer vision. Most of the success in these tasks is …
Constructive deep neural network for breast cancer diagnosis
Abstract The Oncotype DX (ODX) breast cancer assay is the worldwide most common and
used Gene Expression Profiling (GEP) test. This ODX assay has a great impact on Adjuvant …
used Gene Expression Profiling (GEP) test. This ODX assay has a great impact on Adjuvant …
[图书][B] Design of experiments for reinforcement learning
C Gatti - 2014 - books.google.com
This thesis takes an empirical approach to understanding of the behavior and interactions
between the two main components of reinforcement learning: the learning algorithm and the …
between the two main components of reinforcement learning: the learning algorithm and the …
Personalized web service recommendation through mishmash technique and deep learning model
SG Kumar, SS Sridhar, A Hussain… - Multimedia Tools and …, 2022 - Springer
Discovering the relevant web services for specific applications in the dynamically changing
business world becomes very critical. Researchers have used many ontology based …
business world becomes very critical. Researchers have used many ontology based …
FPGA implementation of the C-Mantec neural network constructive algorithm
F Ortega-Zamorano, JM Jerez… - IEEE Transactions on …, 2013 - ieeexplore.ieee.org
Competitive majority network trained by error correction (C-Mantec), a recently proposed
constructive neural network algorithm that generates very compact architectures with good …
constructive neural network algorithm that generates very compact architectures with good …
An overview of some classical growing neural networks and new developments
X Qiang, G Cheng, Z Wang - 2010 2nd International …, 2010 - ieeexplore.ieee.org
The mapping capability of artificial neural networks (ANN) is dependent on their structure, ie,
the number of layers and the number of hidden units. There is no formal way of computing …
the number of layers and the number of hidden units. There is no formal way of computing …
A constructive algorithm to synthesize arbitrarily connected feedforward neural networks
WJ Puma-Villanueva, EP Dos Santos, FJ Von Zuben - Neurocomputing, 2012 - Elsevier
In this work we present a constructive algorithm capable of producing arbitrarily connected
feedforward neural network architectures for classification problems. Architecture and …
feedforward neural network architectures for classification problems. Architecture and …