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ICCS
2007
Springer
15 years 9 months ago
Neural Networks for Predicting the Behavior of Preconditioned Iterative Solvers
We evaluate the effectiveness of neural networks as a tool for predicting whether a particular combination of preconditioner and iterative method will correctly solve a given spar...
America Holloway, Tzu-Yi Chen
114
Voted
ISNN
2007
Springer
15 years 9 months ago
Neural Networks Training with Optimal Bounded Ellipsoid Algorithm
Abstract. Compared to normal learning algorithms, for example backpropagation, the optimal bounded ellipsoid (OBE) algorithm has some better properties, such as faster convergence,...
José de Jesús Rubio, Wen Yu
103
Voted
IWANN
2007
Springer
15 years 9 months ago
Improving the Performance of the RBF Neural Networks Trained with Imbalanced Samples
Roberto Alejo, Vicente García, José ...
137
Voted
IJCNN
2006
IEEE
15 years 9 months ago
Job-Shop Scheduling with an Adaptive Neural Network and Local Search Hybrid Approach
— Job-shop scheduling is one of the most difficult production scheduling problems in industry. This paper proposes an adaptive neural network and local search hybrid approach fo...
Shengxiang Yang
138
Voted
CIG
2005
IEEE
15 years 9 months ago
Evolving a Neural Network Location Evaluator to Play Ms. Pac-Man
Ms. Pac-Man is a challenging, classic arcade game with a certain cult status. This paper reports attempts to evolve a Pac-Man player, where the control algorithm uses a neural net...
Simon M. Lucas