public override SAFuzzySystem Generate(FuzzySystem.SingletoneApproximate.SAFuzzySystem Approximate, IGeneratorConf config)
{
SAFuzzySystem result = Approximate;
if (result.RulesDatabaseSet.Count == 0)
{
AbstractNotSafeGenerator tempGen = new GeneratorRulesEveryoneWithEveryone();
result = tempGen.Generate(result, config);
GC.Collect();
}
count_shrink = ((TermShrinkAndRotateConf)config).TSARCShrinkVars;
size_shrink = ((TermShrinkAndRotateConf)config).TSARCShrinkTerm;
type_func = ((TermShrinkAndRotateConf)config).IEWEFuncType;
count_slices = ((TermShrinkAndRotateConf)config).IEWECountSlice;
List <int> Varians_of_run_system = new List <int>();
for (int i = 0; i < Approximate.CountFeatures; i++)
{
int count_terms_for_var = Approximate.RulesDatabaseSet[0].TermsSet.FindAll(x => x.NumVar == i).Count;
if (i < count_shrink)
{
Varians_of_run_system.Add(count_terms_for_var - size_shrink);
}
else
{
Varians_of_run_system.Add(count_terms_for_var);
}
}
Varians_of_run_system.Sort();
TypeTermFuncEnum type_of_term = Approximate.RulesDatabaseSet[0].TermsSet[0].TermFuncType;
Generate_all_variant_in_pool(Varians_of_run_system);
for (int i = 0; i < Pull_of_systems.Count; i++)
{
Approximate.RulesDatabaseSet.Clear();
GeneratorRulesEveryoneWithEveryone.InitRulesEveryoneWithEveryone(Approximate, type_of_term, Pull_of_systems[i].ToArray());
Systems_ready_to_test.Add(Approximate.RulesDatabaseSet[0]);
errors_of_systems.Add(result.approxLearnSamples(result.RulesDatabaseSet[0]));
}
int best_index = errors_of_systems.IndexOf(errors_of_systems.Min());
result.RulesDatabaseSet.Clear();
result.RulesDatabaseSet.Add(Systems_ready_to_test[best_index]);
Console.WriteLine(Pull_of_systems.Count());
GC.Collect();
// result.UnlaidProtectionFix();
result.RulesDatabaseSet[0].TermsSet.Trim();
return(result);
}
public override SAFuzzySystem Generate(FuzzySystem.SingletoneApproximate.SAFuzzySystem Approximate, IGeneratorConf config)
{
start_add_rules = Approximate.RulesDatabaseSet.Count;
SAFuzzySystem result = Approximate;
if (result.RulesDatabaseSet.Count == 0)
{
AbstractNotSafeGenerator tempGen = new GeneratorRulesEveryoneWithEveryone();
result = tempGen.Generate(result, config);
GC.Collect();
}
Request_count_rules = ((RullesShrinkConf)config).RSCCountRules;
max_count_rules = ((RullesShrinkConf)config).RSCMaxRules;
count_slices = ((RullesShrinkConf)config).IEWECountSlice;
min_count_rules = ((RullesShrinkConf)config).RSCMinRules;
type_term = ((RullesShrinkConf)config).IEWEFuncType;
int count_of_swith_off = ((RullesShrinkConf)config).RSCMaxRules - Request_count_rules;
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++)
{
KnowlegeBaseSARules temp_rules = new KnowlegeBaseSARules(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());
KnowlegeBaseSARules best = result.RulesDatabaseSet[start_add_rules + best_index];
result.RulesDatabaseSet.Clear();
result.RulesDatabaseSet.Add(best);
Console.WriteLine(Pull_of_systems.Count());
GC.Collect();
// result.UnlaidProtectionFix();
result.RulesDatabaseSet[0].TermsSet.Trim();
return(result);
}
public override SAFuzzySystem TuneUpFuzzySystem(FuzzySystem.SingletoneApproximate.SAFuzzySystem Approximate, ILearnAlgorithmConf config)
{
SAFuzzySystem result = Approximate;
if (result.RulesDatabaseSet.Count == 0)
{
throw new System.FormatException("Что то не то с входными данными");
}
OptimizeTermShrinkAndRotateConf Config = config as OptimizeTermShrinkAndRotateConf;
count_shrink = Config.OTSARCountShrinkVars;
size_shrink = Config.OTSARCountShrinkTerm;
List <int> Varians_of_run_system = new List <int>();
for (int i = 0; i < Approximate.CountFeatures; i++)
{
int count_terms_for_var = Approximate.RulesDatabaseSet[0].TermsSet.FindAll(x => x.NumVar == i).Count;
if (i < count_shrink)
{
Varians_of_run_system.Add(count_terms_for_var - size_shrink);
}
else
{
Varians_of_run_system.Add(count_terms_for_var);
}
}
Varians_of_run_system.Sort();
TypeTermFuncEnum type_of_term = Approximate.RulesDatabaseSet[0].TermsSet[0].TermFuncType;
Generate_all_variant_in_pool(Varians_of_run_system);
for (int i = 0; i < Pull_of_systems.Count; i++)
{
Approximate.RulesDatabaseSet.Clear();
GeneratorRulesEveryoneWithEveryone.InitRulesEveryoneWithEveryone(result, type_of_term, Pull_of_systems[i].ToArray());
Systems_ready_to_test.Add(Approximate.RulesDatabaseSet[0]);
errors_of_systems.Add(result.approxLearnSamples(result.RulesDatabaseSet[0]));
}
int best_index = errors_of_systems.IndexOf(errors_of_systems.Min());
result.RulesDatabaseSet.Clear();
result.RulesDatabaseSet.Add(Systems_ready_to_test[best_index]);
Console.WriteLine(Pull_of_systems.Count());
result.RulesDatabaseSet[0].TermsSet.Trim();
// result.UnlaidProtectionFix();
return(result);
}
public override SAFuzzySystem TuneUpFuzzySystem(FuzzySystem.SingletoneApproximate.SAFuzzySystem Approximate, ILearnAlgorithmConf config)
{
theFuzzySystem = Approximate;
if (theFuzzySystem.RulesDatabaseSet.Count == 0)
{
throw new System.FormatException("Что то не то с входными данными");
}
OptimizeTermShrinkHardCoreConf Config = config as OptimizeTermShrinkHardCoreConf;
count_shrink = Config.OTSHCCountShrinkTerm;
for (int i = 0; i < Approximate.CountFeatures; i++)
{
int count_terms_for_var = Approximate.RulesDatabaseSet[0].TermsSet.FindAll(x => x.NumVar == i).Count;
if (count_terms_for_var >= count_shrink)
{
int shrinkcounter = count_shrink;
List <int> Varians_of_cut = new List <int>();
for (int j = 0; j < count_terms_for_var; j++)
{
if (shrinkcounter > 0)
{
Varians_of_cut.Add(0);
}
else
{
Varians_of_cut.Add(1);
}
shrinkcounter--;
}
Generate_all_variant_in_pool(Varians_of_cut);
for (int j = 0; j < Pull_of_systems.Count; j++)
{
KnowlegeBaseSARules current = MakeCut(Approximate.RulesDatabaseSet[0], Pull_of_systems[j], i);
Systems_ready_to_test.Add(current);
errors_of_systems.Add(theFuzzySystem.approxLearnSamples(current));
}
Pull_of_systems.Clear();
}
}
int best_index = errors_of_systems.IndexOf(errors_of_systems.Min());
theFuzzySystem.RulesDatabaseSet[0] = Systems_ready_to_test[best_index];
return(theFuzzySystem);
}
public override SAFuzzySystem TuneUpFuzzySystem(FuzzySystem.SingletoneApproximate.SAFuzzySystem Approximate, ILearnAlgorithmConf config)
{
start_add_rules = Approximate.RulesDatabaseSet.Count;
SAFuzzySystem 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++)
{
KnowlegeBaseSARules temp_rules = new KnowlegeBaseSARules(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());
KnowlegeBaseSARules 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);
}
public override SAFuzzySystem Generate(FuzzySystem.SingletoneApproximate.SAFuzzySystem Approximate, IGeneratorConf config)
{
Random rand = new Random();
SAFuzzySystem result = Approximate;
if (result.RulesDatabaseSet.Count == 0)
{
KnowlegeBaseSARules temp_rules = new KnowlegeBaseSARules();
result.RulesDatabaseSet.Add(temp_rules);
}
type_term = ((GeneratorRullesSimpleRandomConfig)config).RSRTypeFunc;
stable_terms = (int)((GeneratorRullesSimpleRandomConfig)config).RSRConstant;
count_rules = ((GeneratorRullesSimpleRandomConfig)config).RSRCountRules;
for (int j = 0; j < count_rules; j++)
{
int[] order = new int[result.CountFeatures];
TypeTermFuncEnum temp_type_term;
if (stable_terms == 0)
{
temp_type_term = type_term;
}
else
{
temp_type_term = Generator_type_term();
}
List <Term> temp_term_list = new List <Term>();
for (int k = 0; k < result.CountFeatures; k++)
{
double[] parametrs = new double[Term.CountParamsinSelectedTermType(temp_type_term)];
switch (temp_type_term)
{
case TypeTermFuncEnum.Треугольник:
parametrs[0] = result.LearnSamplesSet.InputAttributes[k].Min + rand.NextDouble() * (result.LearnSamplesSet.InputAttributes[k].Max - result.LearnSamplesSet.InputAttributes[k].Min);
parametrs[1] = result.LearnSamplesSet.InputAttributes[k].Min + rand.NextDouble() * (result.LearnSamplesSet.InputAttributes[k].Max - result.LearnSamplesSet.InputAttributes[k].Min);
parametrs[2] = result.LearnSamplesSet.InputAttributes[k].Min + rand.NextDouble() * (result.LearnSamplesSet.InputAttributes[k].Max - result.LearnSamplesSet.InputAttributes[k].Min);
Array.Sort(parametrs);
break;
case TypeTermFuncEnum.Гауссоида: parametrs[0] = result.LearnSamplesSet.InputAttributes[k].Min + rand.NextDouble() * (result.LearnSamplesSet.InputAttributes[k].Max - result.LearnSamplesSet.InputAttributes[k].Min);
parametrs[1] = (rand.NextDouble() + 0.01) * 0.5 *
(result.LearnSamplesSet.InputAttributes[k].Max -
result.LearnSamplesSet.InputAttributes[k].Min);
break;
case TypeTermFuncEnum.Парабола: parametrs[0] = result.LearnSamplesSet.InputAttributes[k].Min + rand.NextDouble() * (result.LearnSamplesSet.InputAttributes[k].Max - result.LearnSamplesSet.InputAttributes[k].Min);
parametrs[1] = result.LearnSamplesSet.InputAttributes[k].Min + rand.NextDouble() * (result.LearnSamplesSet.InputAttributes[k].Max - result.LearnSamplesSet.InputAttributes[k].Min);
Array.Sort(parametrs);
break;
case TypeTermFuncEnum.Трапеция: parametrs[0] = result.LearnSamplesSet.InputAttributes[k].Min + rand.NextDouble() * (result.LearnSamplesSet.InputAttributes[k].Max - result.LearnSamplesSet.InputAttributes[k].Min);
parametrs[1] = result.LearnSamplesSet.InputAttributes[k].Min + rand.NextDouble() * (result.LearnSamplesSet.InputAttributes[k].Max - result.LearnSamplesSet.InputAttributes[k].Min);
parametrs[2] = result.LearnSamplesSet.InputAttributes[k].Min + rand.NextDouble() * (result.LearnSamplesSet.InputAttributes[k].Max - result.LearnSamplesSet.InputAttributes[k].Min);
parametrs[3] = result.LearnSamplesSet.InputAttributes[k].Min + rand.NextDouble() * (result.LearnSamplesSet.InputAttributes[k].Max - result.LearnSamplesSet.InputAttributes[k].Min);
Array.Sort(parametrs);
break;
}
Term temp_term = new Term(parametrs, temp_type_term, k);
result.RulesDatabaseSet[0].TermsSet.Add(temp_term);
temp_term_list.Add(temp_term);
order[k] = result.RulesDatabaseSet[0].TermsSet.Count - 1;
}
double DoubleOutput = KNNConsequent.NearestApprox(result, temp_term_list);
SARule temp_Rule = new SARule(result.RulesDatabaseSet[0].TermsSet, order, DoubleOutput);
result.RulesDatabaseSet[0].RulesDatabase.Add(temp_Rule);
}
result.RulesDatabaseSet[0].TermsSet.Trim();
result.UnlaidProtectionFix(result.RulesDatabaseSet[0]);
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);
}
public override FuzzySystem.SingletoneApproximate.SAFuzzySystem TuneUpFuzzySystem(FuzzySystem.SingletoneApproximate.SAFuzzySystem Approximate, ILearnAlgorithmConf conf)
{
result = Approximate;
Init(conf);
for (int i = 0; i < count_iterate; i++)
{
oneIterate(result);
}
Final();
result.RulesDatabaseSet[0].TermsSet.Trim();
return(result);
}
