type TCalcSpvRBF = class(TCalcSpvMLP)
TCalcSpvMLP > TCalcSpvLearning![]() |
procedure afterProcessPatterns(); override; |
![]() |
function beforeLearning(examples: TExamples): boolean; override; |
![]() |
procedure beforeProcessPatterns(); override; |
![]() |
procedure createStructures(); override; |
![]() |
procedure destroyStructures(); override; |
![]() |
function getHTMLResults(): string; override; |
![]() |
procedure InputPattern(example: integer); override; |
![]() |
procedure SetAttToBlank(example: integer; prmAttEval: integer); override; |
![]() |
procedure afterProcessPatterns(); override; |
![]() |
function beforeLearning(examples: TExamples): boolean; override; |
![]() |
procedure beforeProcessPatterns(); override; |
nombre de passage
![]() |
procedure createStructures(); override; |
![]() |
procedure destroyStructures(); override; |
![]() |
function getHTMLResults(): string; override; |
![]() |
procedure InputPattern(example: integer); override; |
le neurone d'entrée est maintenant un noyau
![]() |
procedure SetAttToBlank(example: integer; prmAttEval: integer); override; |
on est obligé de tout recalculer entièrement l'input pattern dans ce cas