Skip to search formSkip to main content

You are currently offline. Some features of the site may not work correctly.

Semantic Scholar uses AI to extract papers important to this topic.

Review

2019

Review

2019

Spiking neural networks are nature's versatile solution to fault-tolerant and energy efficient signal processing. To translate… Expand

Is this relevant?

Highly Cited

2013

Highly Cited

2013

Deep neural network acoustic models produce substantial gains in large vocabulary continuous speech recognition systems. Emerging… Expand

Is this relevant?

Highly Cited

2011

Highly Cited

2011

While logistic sigmoid neurons are more biologically plausible than hyperbolic tangent neurons, the latter work better for… Expand

Is this relevant?

Highly Cited

2010

Highly Cited

2010

Restricted Boltzmann machines were developed using binary stochastic hidden units. These can be generalized by replacing each… Expand

Is this relevant?

Highly Cited

2003

Highly Cited

2003

Special attention must be paid to an efficient approximation of the sigmoid function in implementing FPGA-based reprogrammable… Expand

Is this relevant?

Highly Cited

2003

Highly Cited

2003

We generalize a result of Gao and Xu [4] concerning the approximation of functions of bounded variation by linear combinations of… Expand

Is this relevant?

Highly Cited

1995

Highly Cited

1995

Sigmoid function is the most commonly known function used in feed forward neural networks because of its nonlinearity and the… Expand

Is this relevant?

Highly Cited

1993

Highly Cited

1993

Approximation properties of a class of artificial neural networks are established. It is shown that feedforward networks with one… Expand

Is this relevant?

Highly Cited

1989

Highly Cited

1989

K.M. Hornik, M. Stinchcombe, and H. White (Univ. of California at San Diego, Dept. of Economics Discussion Paper, June 1988; to… Expand

Is this relevant?

Highly Cited

1989

Highly Cited

1989

In this paper we demonstrate that finite linear combinations of compositions of a fixed, univariate function and a set of affine… Expand

Is this relevant?