نتایج جستجو برای: intelligence committee machine
تعداد نتایج: 409006 فیلتر نتایج به سال:
reservoir permeability is a critical parameter for the evaluation of hydrocarbon reservoirs. there are a lot of well log data related with this parameter. in this study, permeability is predicted using them and a supervised committee machine neural network (scmnn) which is combined of 30 estimators. all of data were divided in two low and high permeability populations using statistical study. e...
This document describes my proposed PhD research and presents a review of my work done so far, as well as, an outline of the work to be done to finalise my dissertation. The goal of this research is to overcome limitations of highly complex robotic systems, especially in terms of autonomy and adaptation. Although robotics research has seen advances over the last decades robots are still not in ...
Artificial intelligence has been trying for decades to create systems with human capabilities, including human-like learning; Therefore, the purpose of this study is to discover how to use this field in the process of learning facade design, specifically learning the rules and standards and national regulations related to the design of facades of residential buildings by machine with a machine ...
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...
Mass appraisal is the systematic appraisal of groups of properties as of a given date using standardized procedures and statistical testing. Mass appraisal is commonly used to compute real estate tax. There are three traditional real estate valuationmethods: the sales comparison approach, incomeapproach, and the cost approach. Mass appraisal models are commonly based on the sales comparison app...
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...
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