Titlebook: Engineering Applications of Neural Networks; 23rd International C Lazaros Iliadis,Chrisina Jayne,Elias Pimenidis Conference proceedings 202

Rustproof

Route Scheduling System for?Multiple Self-driving Cars Using K-means and?Bio-inspired AlgorithmsS against GA, ACS and Particle Swarm Optimization (PSO) initialized with random population. The results showed that, as the number of cars and target locations increase, the hybrid approaches outperform GA, ACS and PSO without any pre-processing.

防水

Novel Decision Forest Building Techniques by?Utilising Correlation Coefficient Methodsl results indicate that the proposed methods have the best average ensemble accuracy rank of 1.3 (for MICF) and 3.0 (for PCCF), compared to their closest competitor, Random Forest (RF), which has an average rank of 4.3. Additionally, the results from Friedman and Bonferroni-Dunn tests indicate statistically significant improvement.

躲債

反省

阻礙

cacophony

Water-Brash

Evaluating Acceleration Techniques for?Genetic Neural Architecture Searchensive neural architecture search approach, and aims to pave the way for speeding up such algorithms by assessing the effect of acceleration methods on the overall performance of the neural architecture search procedure as well as on the produced architectures.

食草

Generation of Orthogonality for Feature Spaces in the Bio-inspired Neural Networksrthogonality basis functions create better tracking results. Thus, asymmetric structure of the network and its nonlinear characteristics are shown to be effective factors for generating orthogonality.

labyrinth

偏離

The Effectiveness of?Synchronous Data-parallel Differentiable Architecture Searchinal results due to the pruning before extracting the final network. As a result, we achieve a speedup of 1.82 for two GPU workers and a 3.18 speedup for four GPU workers while retaining the same qualitative results as serially executing DARTS.