Add to ORKGHammer B. A NP-hardness result for a sigmoidal 3-node neural network. Osnabrücker Schriften zur Mathematik. Osnabrück: Universität Osnabrück; 1997
With 12 refs., 1 fig.Available from TIB Hannover: RN 4237(420)+a / FIZ - Fachinformationszzentrum Ka...
Given a neural network, training data, and a threshold, it was known that it is NP-hard to find weig...
AbstractThis paper deals with a neural network model in which each neuron performs a threshold logic...
Hammer B. Some complexity results for perceptron networks. In: International Conference on artifici...
DasGupta B, Hammer B. Hardness of approximation of the loading problem for multi-layered feedforward...
Hammer B. Challenges in Neural Computation. Künstliche Intelligenz : KI. 2012;26(4):333-340
We consider a 2-layer, 3-node, n-input neural network whose nodes compute linear threshold functions...
Hammer B. Training a sigmoidal network is difficult. In: Verleysen M, ed. European Symposium on Arti...
Hammer B, Tino P. Neural networks with small weights implement finite memory machines. Osnabrücker S...
Hammer B. On the generalization ability of simple recurrent neural networks. Osnabrücker Schriften z...
"Is there a 1-MINESMOOTHTREE solution of score exceedingB?" is NP-hard. The problem remain...
Abstract: We consider a 2-layer, 3-node, n-input neural network whose nodes compute linear threshold...
This paper deals with a neural network model in which each neuron performs a threshold logic functio...
A section of research concerning the development of a model to enable predicting the hardness profil...
Hammer B, Villmann T. Mathematical Aspects of Neural Networks. In: Verleysen M, ed. Proc. Of Europea...
With 12 refs., 1 fig.Available from TIB Hannover: RN 4237(420)+a / FIZ - Fachinformationszzentrum Ka...
Given a neural network, training data, and a threshold, it was known that it is NP-hard to find weig...
AbstractThis paper deals with a neural network model in which each neuron performs a threshold logic...
Hammer B. Some complexity results for perceptron networks. In: International Conference on artifici...
DasGupta B, Hammer B. Hardness of approximation of the loading problem for multi-layered feedforward...
Hammer B. Challenges in Neural Computation. Künstliche Intelligenz : KI. 2012;26(4):333-340
We consider a 2-layer, 3-node, n-input neural network whose nodes compute linear threshold functions...
Hammer B. Training a sigmoidal network is difficult. In: Verleysen M, ed. European Symposium on Arti...
Hammer B, Tino P. Neural networks with small weights implement finite memory machines. Osnabrücker S...
Hammer B. On the generalization ability of simple recurrent neural networks. Osnabrücker Schriften z...
"Is there a 1-MINESMOOTHTREE solution of score exceedingB?" is NP-hard. The problem remain...
Abstract: We consider a 2-layer, 3-node, n-input neural network whose nodes compute linear threshold...
This paper deals with a neural network model in which each neuron performs a threshold logic functio...
A section of research concerning the development of a model to enable predicting the hardness profil...
Hammer B, Villmann T. Mathematical Aspects of Neural Networks. In: Verleysen M, ed. Proc. Of Europea...
With 12 refs., 1 fig.Available from TIB Hannover: RN 4237(420)+a / FIZ - Fachinformationszzentrum Ka...
Given a neural network, training data, and a threshold, it was known that it is NP-hard to find weig...
AbstractThis paper deals with a neural network model in which each neuron performs a threshold logic...