Neural networks have been used effectively in a number of applications. Most of these applications have used the backpropagation algorithm as the learning ... S Roy - IEEE World Congress on IEEE International Conference on Neural Networks 被引量: 11发表: 1994年 Some Applications of Complex Integr...
a concentration.The results showed that the Meiliang bay and centre of the lake Taihu respectively had average relative error of 71% and 39%,and the primary reasons of the poor predicing accuracy were hydrodynamic conditions,hydrometeorologicalin of Taihu Lake and factors of eco-system of algae....
The weights are initialized randomly and learned through the backpropagation algorithm. Convolutional Neural Network Get a complete overview of it through our blog Log Analytics with Machine Learning and Deep Learning. Modular Neural Network It is the combined structure of different types of it like ...
Usually, the effectiveness of an ML algorithm is highly dependent on the integrity of the input-data representation. It has been shown that a suitable data representation provides an improved performance when compared to a poor data representation. Thus, a significant research trend in ML for many...
He begins by summarizing a generalized formulation of backpropagation, and then discusses network architectures and applications which it opens up.<... PJ Werbos - IEEE International Conference on Neural Networks 被引量: 443发表: 1988年 A Focused Backpropagation Algorithm for Temporal Pattern Recogniti...
Software engineers of the future can use inductive techniques as they now use message passing, for instance. Then, any program can be enhanced by some learning ability. 展开 关键词: NEURAL NETWORKS OCCUPANCY GRIDS INFORMATION MEASURE BACKPROPAGATION ALGORITHM ...
MATLABIn this paper we examine and present the methodology of feed-forward neural networks with error backpropagation algorithm and non-linear methods. We test some adoi:10.2139/ssrn.1667438Giovanis, EleftheriosSocial Science Electronic Publishing...
Chunbiao Z, Ge L et al (2017) A multilayer backpropagation saliency detection algorithm based on depth mining. In: International Conference on Computer Analysis of Images and Patterns, pp 14–23 Criminisi A, Prez P, Toyama K (2003) Object removal by exemplar-based inpainting. In: IEEE Comput...
This paper presents an adaptive algorithm of optimally determining the structures, number, positions and widths of kernel functions of the improved radial basis function(IRBF) neural networks. The algorithm has approximately computational complexity comparing with the back propagation fellow used in the ...
of DNN’s inference accuracy with respect to a small change in each configuration knob, which we refer to as AccGrad. Thanks to DNN’s differentiability, it is possible to quickly estimate AccGrad for multiple configuration knobs with a single DNN backpropagation. With AccG...