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Found 8 papers, 2 papers with code
ACO for Continuous Function Optimization: A Performance Analysis
A comprehensive performance analysis of the underlying parameters such as: selection strategy, distance measure metric and pheromone evaporation rate of the ACO suggests that the Roulette Wheel Selection strategy enhances the performance of the ACO due to its ability to provide non-uniformity and adequate diversity in the selection of a solution.
Simultaneous Optimization of Neural Network Weights and Active Nodes using Metaheuristics
Optimization of neural network (NN) significantly influenced by the transfer function used in its active nodes.
Convergence Analysis of Backpropagation Algorithm for Designing an Intelligent System for Sensing Manhole Gases
The cross sensitivity is a crucial issue to this problem and it is viewed as pattern recognition and noise reduction problem.
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.
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.
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.
Identifying hazardousness of sewer pipeline gas mixture using classification methods: a comparative study
The primary goal of this work was to identify the hazardousness of sewer pipeline to offer safe and non-hazardous access to sewer pipeline workers so that the human fatalities, which occurs due to the toxic exposure of sewer gas components, can be avoided.
Multiobjective Programming for Type-2 Hierarchical Fuzzy Inference Trees
Hence, the proposed HFIT is an efficient and competitive alternative to the other FISs for function approximation and feature selection.
