Artificial neural network model for arrival time computation in gate level circuits
Sažetak Advances in the VLSI process technology lead to variations in the process
parameters. These process variations severely affect the delay computation of a digital …
parameters. These process variations severely affect the delay computation of a digital …
The role of artificial neural networks in evolutionary optimisation: a review
This paper reviews the combination of Artificial Neural Networks (ANN) and Evolutionary
Optimisation (EO) to solve challenging problems for the academia and the industry. Both …
Optimisation (EO) to solve challenging problems for the academia and the industry. Both …
Training feedforward neural network using genetic algorithm to diagnose left ventricular hypertrophy
In this research work, a new technique was proposed for the diagnosis of left ventricular
hypertrophy (LVH) from the ECG signal. The advanced imaging techniques can be used to …
hypertrophy (LVH) from the ECG signal. The advanced imaging techniques can be used to …
Optimization of neural network based on improved genetic algorithm
Z Chen - 2009 International Conference on Computational …, 2009 - ieeexplore.ieee.org
Neural network and genetic algorithm have attracted a great deal of attention as methods
and theories realizing artificial intelligence recently. The combination of these two is drawing …
and theories realizing artificial intelligence recently. The combination of these two is drawing …
Hyperparameters' Optimization of Convolutional Neural Network Using Diversity-Guided Genetic Algorithms for Image Classification
Z Somani, S Thangavelu - International Conference on Advances in Data …, 2023 - Springer
Abstract Convolutional Neural Networks (CNNs) are an effective tool for image classification
and other computer vision problems. However, getting ideal performance necessitates …
and other computer vision problems. However, getting ideal performance necessitates …