Rapid screening for metabolite overproduction in fermentor broths, using pyrolysis mass spectrometry with multivariate calibration and artificial neural networks... In the latter case, the weights were modified using the standard backpropagation algorithm, and the nodes used a sigmoidal squashing function....
Function evaluation and the cascade-correlation architecture... The activation function of the output nodes is non-linear, typically a squashing function such as a sigmoid....
Rule based fuzzy classification using squashing functions... The introduced squashing function allows us not only to handle the approximation of the operators and the memberships in the same way, but also to efficiently calculate the derivatives of the...
The simultaneous approximation order by neural networks with a squashing function... In this paper, we study the simultaneous approximation to functions in Cm[0, 1] by neural networks with a squashing function and the complexity related to the simultaneous approximation using a Bern-stein polynomial and the modulus of continuity....
