Parallel, Self-organizing, Consensual Neural Network (PSCNN) is an alternative to the conventional cascaded neural networks. This network is a predecessor of Hierarchical Neural Networks [1] .
A neural network architecture, the parallel self-organizing consensus neural net (PSCNN), is developed to improve performance and speed of such networks.
Jul 30, 2020 · Abstract:A new neural network architecture (PSCNN) is developed to improve performance and speed of such networks. The architecture has all ...
A neural network architecture, the parallel self-organizing consensus neural net (PSCNN), is developed to improve performance and speed of such networks.
The performance of this new PSCNN system is compared to backpropagation networks in problems of language perception remote sensing and binary logic ...
A new neural network architecture (PSCNN) is developed to improve performance and speed of such networks. The architecture has all the advantages of the ...
The parallel consensual neural network (PCNN) architecture is based on statistical consensus theory and involves using stage neural networks with either non- ...
Oct 22, 2024 · The PCNN architecture is based on statistical consensus theory and involves using stage neural networks with transformed input data. The input ...
A new neural-network architecture called the parallel, self-organizing, hierarchical neural network (PSHNN) is presented. The new architecture involves a ...
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In this paper, we propose a new multiple self-organizing neural network architecture. Whereas conventional learning methods utilize the full dimension of ...