Searching for "On the Computational Power of Neural Nets." – sorted by Relevance.
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On The Computational Power Of Neural Nets
- On The Computational Power Of Neural Nets Hava T. Siegelmann Department of Computer Science
- Cited by 130 (22 self) – Add To MetaCart
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Bounds for the Computational Power and Learning Complexity of Analog Neural Nets
- BOUNDS FOR THE COMPUTATIONAL POWER AND LEARNING COMPLEXITY OF ANALOG NEURAL NETS # WOLFGANG MAASS
- Cited by 57 (12 self) – Add To MetaCart
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Foundations Of Recurrent Neural Networks
- constraints. We investigate the computational power of neural nets, taking a classical computer science point
- Cited by 10 (3 self) – Add To MetaCart
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Paradigms for Computing with Spiking Neurons
- power of neural nets for computing functions with boolean output [Maass et al., 1991; Das
- Cited by 31 (1 self) – Add To MetaCart
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General Purpose Computation with Neural Networks: A Survey of Complexity Theoretic Results
- , Wiedermann, 1994). In particular, the computational power of neural nets has been investigated by comparing
- Cited by 1 (0 self) – Add To MetaCart
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Distal Supervised Learning for Solving Inverse Kinematic Problems
- of neural networks might be a practical problem, but this is another question. The computational power
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Real-Time Recognition and Visual Control: Image Understanding Research at Rochester
- the inherent computational power of neural nets: they are now at U. Toronto and AT&T Bell Labs, respectively
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