It is proven that the error surface of this network for the patterns of the XOR problem has minimum values with zero error and that all other stationary points�...
The artificial neural network with one hidden unit and the input units connected to the output unit is considered. It is proven that the error surface of�...
tion has no local minima, only one global minimum with zero error. This minimum value is realized in three-dimensional regions of the seven- dimensional�...
It is proven that the error surface of this network for the patterns of the XOR problem has minimum values with zero error and that all other stationary points�...
The error surface of the network with one hidden unit for the XOR function has no local minima, only one global minimum with zero error. This mini- mum�...
The artificial neural network with one hidden unit and the input units connected to the output unit is considered. It is proven that the error surface of�...
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The main result of this paper is that all stationary points of the 2-2-1 XOR network with finite weights cannot be local minima: they are absolute minima with�...
Nov 8, 2011 � However, it admits "asymptotic minima" wherein the error surface flattens out as one or more weights approach infinity.
The Error Surface of the Simplest XOR Network Has Only Global Minima � I. Sprinkhuizen-KuyperE. Boers. Computer Science, Mathematics. Neural Computation. 1996.
It is proved that the error surface of the two-layer XOR network with two hidden units has a number of regions with local minima such that one or both�...