permeability prediction problem has been examined using several methods such as empirical formulas, regression analysis and intelligent systems especially neural networks and fuzzy logic. this study proposes an improved and novel model for predicting permeability from conventional well log data. the methodology is integration of empirical formulas, multiple regression and neuro-fuzzy in a commi...

We study the storage capacity of a fully-connected committee machine with a large number K of hidden nodes. The storage capacity is obtained by analyzing the geometrical structure of the weight space related to the internal representation . By examining the asymptotic behavior of order parameters in the limit of large K, the storage capacity Q c is found to be proportional to ]{ Jln ]{ up to th...

The Bayesian committee machine (BCM) is a novel approach to combining estimators that were trained on different data sets. Although the BCM can be applied to the combination of any kind of estimators, the main foci are gaussian process regression and related systems such as regularization networks and smoothing splines for which the degrees of freedom increase with the number of training data. ...

................................................................................................................................... I Acknowledgements .............................................................................................................. V List of Publications ............................................................................................................... ...

We present theoretical investigations via the replica theory of the storage capacities of committee machines with a large numberM of hidden units and spherical weights. Difficulties arise in the solution of this problem in the limit of large M . In the case of overlapping receptive fields, as the number of patterns increases, both permutation symmetry and replica symmetry are broken, which lead...

Face recognition has been of interest to a growing number of researchers due to its applications on security. Within past years, there are numerous face recognition algorithms proposed by researchers. However, there is no unified framework for the integration. In this paper, we implement different existing well-known algorithms, Eigenface, Fisherface, Elastic Graph Matching (EGM), Support Vecto...

We study the storage capacity of a fully-connected committee machine with a large number K of hidden nodes. The storage capacity is obtained by analyzing the geometrical structure of the weight space related to the internal representation. By examining the asymptotic behavior of order parameters in the limit of large K, the storage capacity c is found to be proportional to K p ln K up to the le...