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Found 4 papers, 1 papers with code
Metaheuristic Design of Feedforward Neural Networks: A Review of Two Decades of Research
The FNN optimization is often viewed from the various perspectives: the optimization of weights, network architecture, activation nodes, learning parameters, learning environment, etc.
Ensemble of heterogeneous flexible neural trees using multiobjective genetic programming
Machine learning algorithms are inherently multiobjective in nature, where approximation error minimization and model's complexity simplification are two conflicting objectives.
Predictive modeling of die filling of the pharmaceutical granules using the flexible neural tree
It was found that the FNT-based CI model (for both CV methods) performed much better than other CI models.
An Experimental Analysis of the Echo State Network Initialization Using the Particle Swarm Optimization
Here, we present an approach to use the PSO for finding some initial hidden-hidden weights of the ESN model.
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