public override Fuzzy_system.Approx_Singletone.a_Fuzzy_System TuneUpFuzzySystem(Fuzzy_system.Approx_Singletone.a_Fuzzy_System Approximate, Abstract_learn_algorithm_conf conf)
{
Mnk_lib.Mnk_class Mnk_me = new Mnk_lib.Mnk_class();
double [,,] Extracted_rules = extract_Rules(Approximate.Rulles_Database_Set[0]);
double [,] Extracted_Samples = extract_Sample_table(Approximate.Learn_Samples_set);
double [] Extracted_Samples_out = extract_Sample_table_Out(Approximate.Learn_Samples_set);
int count_rules = Approximate.Count_Rules();
int count_samples = Approximate.Learn_Samples_set.Count_Samples;
int count_Vars = Approximate.Learn_Samples_set.Count_Vars;
double [] New_consq = new double[count_rules];
Type_Term_Func_Enum type_Func = Approximate.Rulles_Database_Set[0].Terms_Set[0].Term_Func_Type;
int type_func = (int)type_Func;
Mnk_me.mnk_R(Extracted_rules, count_rules, type_func, Extracted_Samples, Extracted_Samples_out, count_samples, count_Vars, out New_consq);
a_Fuzzy_System Result = Approximate;
double result_before = Result.approx_Learn_Samples(0);
double [] Back_consq = Result.Rulles_Database_Set[0].all_conq_of_rules;
Result.Rulles_Database_Set[0].all_conq_of_rules = New_consq;
double result_after = Result.approx_Learn_Samples(0);
if (result_before < result_after)
{
Result.Rulles_Database_Set[0].all_conq_of_rules = Back_consq;
}
GC.Collect();
return(Result);
}
public override FuzzySystem.SingletoneApproximate.SAFuzzySystem TuneUpFuzzySystem(FuzzySystem.SingletoneApproximate.SAFuzzySystem Approximate, ILearnAlgorithmConf conf)
{
Mnk_lib.Mnk_class Mnk_me = new Mnk_lib.Mnk_class();
double [,,] Extracted_rules = extract_Rules(Approximate.RulesDatabaseSet[0]);
double [,] Extracted_Samples = extract_Sample_table(Approximate.LearnSamplesSet);
double [] Extracted_Samples_out = extract_Sample_table_Out(Approximate.LearnSamplesSet);
int count_rules = Approximate.RulesDatabaseSet[0].RulesDatabase.Count;
int count_samples = Approximate.LearnSamplesSet.CountSamples;
int count_Vars = Approximate.LearnSamplesSet.CountVars;
double [] New_consq = new double[count_rules];
TypeTermFuncEnum type_Func = Approximate.RulesDatabaseSet[0].TermsSet[0].TermFuncType;
int type_func = (int)type_Func;
Mnk_me.mnk_R(Extracted_rules, count_rules, type_func, Extracted_Samples, Extracted_Samples_out, count_samples, count_Vars, out New_consq);
SAFuzzySystem Result = Approximate;
double result_before = Result.approxLearnSamples(Result.RulesDatabaseSet[0]);
double [] Back_consq = Result.RulesDatabaseSet[0].all_conq_of_rules;
Result.RulesDatabaseSet[0].all_conq_of_rules = New_consq;
double result_after = Result.approxLearnSamples(Result.RulesDatabaseSet[0]);
if (result_before < result_after)
{
Result.RulesDatabaseSet[0].all_conq_of_rules = Back_consq;
}
GC.Collect();
Result.RulesDatabaseSet[0].TermsSet.Trim();
return(Result);
}