Dec 15, 2013 · Functional Link Neural Network (FLNN) has becoming as an important tool for solving non-linear classification problem.
This section presents an overview on Functional Link Neural Network, related work on FLNN learning scheme and Standard Artificial Bee Colony Optimization.
This paper discussed the implementation of modified Artificial Bee Colony (mABC) as a learning scheme for training the FLNN network in overcoming the drawback ...
In this paper, we describe an overview of FLNN and the proposed Artificial Bee Colony (ABC) as learning al- gorithm in order to achieve better classification ...
The FLNN-mABC algorithm provides better learning scheme for the FLNN network with average overall improvement of 4.29% as compared to FLNN-BP and FLNN-ABC.
Jul 1, 2017 · To recover the BP-learning drawback, this paper proposes an Artificial Bee Colony ABC optimization with modification on bee foraging behaviour ...
The ability of Functional Link Neural Network (FLNN) to overcome the complexity structure of MLP by using single layer architecture is presented
Other studies related to structural optimization and weighting of ANN have been done using the Artificial Bee Colony (ABC) algorithm with Functional Link Neural ...
Nov 27, 2020 · In this paper, a modified ABC (ABC-ISB) optimization algorithm is proposed to automatically train the parameters of Feed-Forward Artificial Neural Networks.
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The FLNN-mABC algorithm provides better learning scheme for the FLNN network with average overall improvement of 4.29% as compared to FLNN-BP and FLNN-ABC.