498 search results - page 6 / 100 » Training Neural Networks with GA Hybrid Algorithms |
EAAI
2007
13 years 7 months ago
2007
In this work, stability control of bipedal standing is investigated. The biped is simplified as an inverted pendulum with a foot-link. The controller consists of a general regres...
CEC
2007
IEEE
14 years 1 months ago
2007
IEEE
— This paper presents a single-objective and a multiobjective stochastic optimization algorithms for global training of neural networks based on simulated annealing. The algorith...
21
Voted
IJCNN
2000
IEEE
13 years 11 months ago
2000
IEEE
In this paper, we propose a method to design a neural network(NN) by using a genetic algorithm(GA) and simulated annealing(SA). And also, in order to demonstrate the effectivenes...
CSB
2005
IEEE
14 years 1 months ago
2005
IEEE
Artificial Neural Networks (ANN) were employed to predict daylily (Hemerocalli spp.) hybrids from known characteristics of parents used in hybridization. Features such as height, ...
GECCO
2007
Springer
13 years 11 months ago
2007
Springer
A primary goal of evolutionary robotics is to create systems that are as robust and adaptive as the human body. Moving toward this goal often involves training control systems tha...