public override ILearnAlgorithmConf getConf(int CountFeatures) { ILearnAlgorithmConf result = new OptimizeRullesShrinkConf(); result.Init(CountFeatures); return(result); }
public override TSAFuzzySystem TuneUpFuzzySystem(TSAFuzzySystem Approximate, ILearnAlgorithmConf config) { start_add_rules = Approximate.RulesDatabaseSet.Count; TSAFuzzySystem result = Approximate; if (result.RulesDatabaseSet.Count == 0) { throw new System.FormatException("Что то не то с входными данными"); } OptimizeRullesShrinkConf Config = config as OptimizeRullesShrinkConf; count_Shrink_rule = Config.ORSCCountShrinkRules; int count_of_swith_off = count_Shrink_rule; List <byte> Varians_of_run_system = new List <byte>(); for (int i = 0; i < Approximate.RulesDatabaseSet[0].RulesDatabase.Count; i++) { Varians_of_run_system.Add(1); } for (int i = 0; i < count_of_swith_off; i++) { Varians_of_run_system[i] = 0; } Generate_all_variant_in_pool(Varians_of_run_system); for (int i = 0; i < Pull_of_systems.Count; i++) { KnowlegeBaseTSARules temp_rules = new KnowlegeBaseTSARules(result.RulesDatabaseSet[0], Pull_of_systems[i]); temp_rules.TrimTerms(); result.RulesDatabaseSet.Add(temp_rules); result.UnlaidProtectionFix(result.RulesDatabaseSet[start_add_rules + i]); errors_of_systems.Add(result.approxLearnSamples(result.RulesDatabaseSet[start_add_rules + i])); } int best_index = errors_of_systems.IndexOf(errors_of_systems.Min()); KnowlegeBaseTSARules best = result.RulesDatabaseSet[start_add_rules + best_index]; result.RulesDatabaseSet.Clear(); result.RulesDatabaseSet.Add(best); Console.WriteLine(Pull_of_systems.Count()); result.RulesDatabaseSet[0].TermsSet.Trim(); // result.UnlaidProtectionFix(); return(result); }