This package provides the Python "pyneurgen" module, which contains several classes for implementing grammatical evolution, a form of genetic programming, and classes for neural networks. These ...

In this project, the Artificial Neural Networks are optimised using the Genetic Algorithms based training algorithm. The problem of finding the optimal set of weights for the Artificial Neural ...

Abstract: In this paper, a hybrid algorithm is proposed for designing feedforward neural networks. A genetic algorithm is proposed to tune the connections and parameters between the input layer and ...

Abstract: A hybrid data mining algorithm is presented in this paper. This hybridization is considered the neural network and genetic algorithm. Academic information contains the finite hidden ...

To alleviate this problem, this study first develops an artificial neural network (ANN) model of the GTL process ... optimal values for the key parameters of the GTL process. The genetic algorithm (GA ...

Evolutionary optimization (EO) is a type of genetic algorithm that can help minimize the error between computed output values and training data target output values ...

Genetic algorithms (GAs) are problem-solving methods (or heuristics) that mimic the process of natural evolution. Unlike artificial neural networks ... and "An Improved Hybrid Genetic Algorithm ...