代码搜索:Fitting

找到约 695 项符合「Fitting」的源代码

代码结果 695
www.eeworm.com/read/317622/13500900

m local_polynomial.m

function test_targets = Local_Polynomial(train_patterns, train_targets, test_patterns, Nlp) % Classify using the local polynomial fitting % Inputs: % train_patterns - Train patterns % train_tar
www.eeworm.com/read/309860/13663476

psf ddr_clk.psf

SYNTHESIS_FITTING_SETTINGS { REMOVE_DUPLICATE_LOGIC = ON; AUTO_TURBO_BIT = ON; AUTO_OPEN_DRAIN_PINS = ON; AUTO_PARALLEL_EXPANDERS = ON; AUTO_FAST_OUTPUT_ENABLE_REGISTERS = OFF; AUTO_FAST_
www.eeworm.com/read/309860/13663514

psf shift_clk.psf

SYNTHESIS_FITTING_SETTINGS { REMOVE_DUPLICATE_LOGIC = ON; AUTO_TURBO_BIT = ON; AUTO_OPEN_DRAIN_PINS = ON; AUTO_PARALLEL_EXPANDERS = ON; AUTO_FAST_OUTPUT_ENABLE_REGISTERS = OFF; AUTO_FAST_
www.eeworm.com/read/480116/6677145

r ada.r

### Name: ada ### Title: Fitting Stochastic Boosting Models ### Aliases: ada ada.default ada.formula ada.logit ada.gentle ada.real ### ada.discrete ### Keywords: classes models methods ### **
www.eeworm.com/read/263516/11359448

m fm_mat.m

function cdata = fm_mat(filename) % FM_MAT filter images for fitting GUI appearance % % CDATA = FM_MAT(FILENAME) % FILENAME bitmap file name without extension (string) % CDATA MxNx3 array
www.eeworm.com/read/405069/11472248

m local_polynomial.m

function test_targets = Local_Polynomial(train_patterns, train_targets, test_patterns, Nlp) % Classify using the local polynomial fitting % Inputs: % train_patterns - Train patterns % train_tar
www.eeworm.com/read/255611/12068902

psf filtref.psf

SYNTHESIS_FITTING_SETTINGS { REMOVE_DUPLICATE_LOGIC = ON; AUTO_TURBO_BIT = ON; AUTO_OPEN_DRAIN_PINS = ON; AUTO_PARALLEL_EXPANDERS = ON; AUTO_FAST_OUTPUT_ENABLE_REGISTERS = OFF; AUTO_FAST_
www.eeworm.com/read/255611/12068956

psf filtref.psf

SYNTHESIS_FITTING_SETTINGS { REMOVE_DUPLICATE_LOGIC = ON; AUTO_TURBO_BIT = ON; AUTO_OPEN_DRAIN_PINS = ON; AUTO_PARALLEL_EXPANDERS = ON; AUTO_FAST_OUTPUT_ENABLE_REGISTERS = OFF; AUTO_FAST_
www.eeworm.com/read/214382/15103987

psf ddr_sdram.psf

DEFAULT_PARAMETERS { ~ELA~WIDTH = 0; ~ELA~DEPTH = 0; } SYNTHESIS_FITTING_SETTINGS { AUTO_TURBO_BIT = ON; AUTO_OPEN_DRAIN_PINS = ON; AUTO_PARALLEL_EXPANDERS = ON; AUTO_FAST_OUTPUT_REGIS
www.eeworm.com/read/38039/1096191

mnu srfoffsmeth.mnu

OFFSETTYPE # Normal#to#Surf Offset normal to surface. # Controlled#Fit Specify scaling csys and control fitting motion. # Auto#Fit Automatically determine scaling csys and fit along all three axes. #