代码搜索：Inference
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www.eeworm.com/read/454131/7397646
h bayesys3.h
//+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
// Bayesian Inference
//
// Filename: bayesys3.h
//
// Purpose: Header for bayesys3.c
//
// Hist
www.eeworm.com/read/389692/8507159
m getfis.m
function out=getfis(fis,arg1,arg2,arg3,arg4,arg5)
%GETFIS Get fuzzy inference system properties.
% OUT = GETFIS(FIS) returns a list of general information about the
% fuzzy inference system FIS
www.eeworm.com/read/359005/10171534
m getfis.m
function out=getfis(fis,arg1,arg2,arg3,arg4,arg5)
%GETFIS Get fuzzy inference system properties.
% OUT = GETFIS(FIS) returns a list of general information about the
% fuzzy inference system FIS
www.eeworm.com/read/123143/14645376
m getfis.m
function out=getfis(fis,arg1,arg2,arg3,arg4,arg5)
%GETFIS Get fuzzy inference system properties.
% OUT = GETFIS(FIS) returns a list of general information about the
% fuzzy inference system FIS
www.eeworm.com/read/334076/12642531
m getfis.m
function out=getfis(fis,arg1,arg2,arg3,arg4,arg5)
%GETFIS Get fuzzy inference system properties.
% OUT = GETFIS(FIS) returns a list of general information about the
% fuzzy inference system FIS
www.eeworm.com/read/334304/12613462
m denfisp.m
% Dynamic Evolving Neural-Fuzzy Inference System: DENFIS Plotting Function
%================================================================================
%= Function Name: denfisp.m
www.eeworm.com/read/334304/12613469
m denfis.m
% Dynamic Evolving Neural-Fuzzy Inference System: DENFIS Training Function
%================================================================================
%= Function Name: denfis.m
www.eeworm.com/read/334304/12613482
m denfiss.m
% Dynamic Evolving Neural-Fuzzy Inference System: DENFIS Simulating Function
%================================================================================
%= Function Name: denfiss.m
www.eeworm.com/read/469123/6977837
m approximations.m
% approximations: Exact inference for Gaussian process classification is
% intractable, and approximations are necessary. Different approximation
% techniques have been implemented, which all rely on
www.eeworm.com/read/273525/4209488
ihlp post_predictnl.ihlp
{* 24jan2005}{...}
{synopt:{bf:{help predictnl}}}point estimates, standard errors, testing, and
inference for generalized predictions{p_end}