415 search results - page 12 / 83 » Generating Predicate Rules from Neural Networks |
ICANN
2003
Springer
14 years 25 days ago
2003
Springer
We discuss a Probably Approximate Correct (PAC) learning paradigm for Boolean formulas, which we call PAC meditation, where the class of formulas to be learnt is not known in advan...
GLVLSI
2005
IEEE
14 years 1 months ago
2005
IEEE
We develop a neural network that learns to separate the nominal from the faulty instances of a circuit in a measurement space. We demonstrate that the required separation boundari...
ENGL
2006
13 years 7 months ago
2006
We describe in this paper the use of neural networks, fuzzy logic and genetic algorithms for voice recognition. In particular, we consider the case of speaker recognition by analyz...
ICONIP
1998
13 years 9 months ago
1998
This paper presents a method to induce relational concepts with neural networks using the inductive logic programming system LINUS. Some first-order inductive learning tasks taken...
ICANN
2009
Springer
14 years 2 months ago
2009
Springer
Backpropagation of errors is not only hard to justify from biological perspective but also it fails to solve problems requiring complex logic. A simpler algorithm based on generati...