diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..1eb20b9 --- /dev/null +++ b/.gitignore @@ -0,0 +1 @@ +/build/neuralnetwork/storage/* diff --git a/build/neuralnetwork/core/Genome.php b/build/neuralnetwork/core/Genome.php index 551d09d..7a20813 100644 --- a/build/neuralnetwork/core/Genome.php +++ b/build/neuralnetwork/core/Genome.php @@ -225,7 +225,7 @@ * @threshold Mutation threshold * */ - public function mutation($threshold=0.5){ + public function mutation($threshold=1){ /* (1) Checks @threshold argument */ if( floatval($threshold) !== $threshold || $threshold < 0 || $threshold > 1 ) throw new \Exception('Invalid threshold for Genome mutation.'); @@ -295,10 +295,15 @@ // echo "result: ${neurons[$n]}\n\n"; } + if( $l == 1 ) + $neurons[$n] /= $this->inputN; + else + $neurons[$n] /= $this->neurons; } + } diff --git a/build/neuralnetwork/core/NeuralNetworkCore.php b/build/neuralnetwork/core/NeuralNetworkCore.php index 3808e5f..5b52f18 100644 --- a/build/neuralnetwork/core/NeuralNetworkCore.php +++ b/build/neuralnetwork/core/NeuralNetworkCore.php @@ -83,6 +83,9 @@ ], 'ft' => [ 'filename' => $absolute_path.'.ft', // will contain genomes' fitness 'exists' => is_file($absolute_path.'.ft') + ], 'ln' => [ + 'filename' => $absolute_path.'.ln', // will contain learnt best genomes + 'exists' => is_file($absolute_path.'.ln') ] ]; @@ -341,6 +344,61 @@ } + /* INITIALIZES THE LEARNING ROUTINE WITH LEARNT DATA AS THE FIRST GENOME + * + * @callback Callback function to display current state + * + */ + public function loadLearningRoutine($callback=null){ + /* [1] Manages @callback argument + =========================================================*/ + if( !is_callable($callback) ) $this->callback = function(){}; + else $this->callback = $callback; + + /* [2] Creates the First generation and serialize it + =========================================================*/ + /* (1) Initializes data & storage */ + $this->gnr = 0; + $this->gnm = 0; + FileManager::write($this->storage['gn']['filename'], ''); + FileManager::write($this->storage['ft']['filename'], ''); + + /* (2) Fetch learnt best genomes */ + $loadedGenomes = [ + FileManager::readline($this->storage['ln']['filename'], 0), + FileManager::readline($this->storage['ln']['filename'], 1) + ]; + + /* (3) Unserializes them */ + $father = new Genome(2, 2, 2, 2); + $father->unserialize($loadedGenomes[0]); + + $mother = new Genome(2, 2, 2, 2); + $mother->unserialize($loadedGenomes[1]); + + /* (4) Create childrens */ + for( $g = 0 ; $g < $this->maxGnm ; $g++ ){ + + // {6.1} Re-use father // + if( $g == 0 ) + FileManager::append($this->storage['gn']['filename'], $father->serialize()); + + // {6.2} Re-use mother // + else if( $g == 1 ) + FileManager::append($this->storage['gn']['filename'], $mother->serialize()); + + // {6.3} Do cross-over + mutation for the rest // + else{ + $gnm = new Genome($father, $mother); + $gnm->mutation($this->mutThr); + FileManager::append($this->storage['gn']['filename'], $gnm->serialize()); + } + + } + + } + + /* RETURNS THE CURRENT GENOME * * @return genome Returns the current genome @@ -441,8 +499,18 @@ /* (3) If end of process ---------------------------------------------------------*/ }else{ + + /* (1) Get the 2 best genomes */ + $best = FileManager::readline($this->storage['ln']['filename'], 0); + $best.= FileManager::readline($this->storage['ln']['filename'], 1); + + /* (2) Stores data to learnt data */ + FileManager::write($this->storage['ln']['filename'], $best); + + /* (3) Destroy cursors */ $this->gnr = null; $this->gnm = null; + } } @@ -479,6 +547,10 @@ $c++; } + /* (3) Anti-regression, if @mother < @father only use @father*/ + if( $fitnesses[$iMother] < $fitnesses[$iFather] ) + $iMother = $iFather; + return [ $iFather, $iMother ]; } diff --git a/build/neuralnetwork/storage/test/test1.ft b/build/neuralnetwork/storage/test/test1.ft index 518816c..7352b46 100644 --- 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diff --git a/build/neuralnetwork/storage/test/test1.nn b/build/neuralnetwork/storage/test/test1.nn index 05d45af..456d052 100644 --- a/build/neuralnetwork/storage/test/test1.nn +++ b/build/neuralnetwork/storage/test/test1.nn @@ -1 +1 @@ -{"maxGnr":50,"maxGnm":1000,"kptGnm":2,"mutThr":0.3,"fitEnd":1,"numHid":2,"numNeu":3,"inpNeu":3,"outNeu":2,"storage":{"nn":{"filename":"\/home\/xdrm-brackets\/Desktop\/git.xdrm.io\/neural-network.php\/build\/neuralnetwork\/storage\/test\/test1.nn","exists":false},"ex":{"filename":"\/home\/xdrm-brackets\/Desktop\/git.xdrm.io\/neural-network.php\/build\/neuralnetwork\/storage\/test\/test1.ex","exists":false},"gn":{"filename":"\/home\/xdrm-brackets\/Desktop\/git.xdrm.io\/neural-network.php\/build\/neuralnetwork\/storage\/test\/test1.gn","exists":false},"ft":{"filename":"\/home\/xdrm-brackets\/Desktop\/git.xdrm.io\/neural-network.php\/build\/neuralnetwork\/storage\/test\/test1.ft","exists":false}}} \ No newline at end of file +{"maxGnr":50,"maxGnm":1000,"mutThr":0.5,"fitEnd":1,"numHid":4,"numNeu":4,"inpNeu":3,"outNeu":2,"storage":{"nn":{"filename":"\/home\/xdrm-brackets\/Desktop\/git.xdrm.io\/neural-network.php\/build\/neuralnetwork\/storage\/test\/test1.nn","exists":false},"ex":{"filename":"\/home\/xdrm-brackets\/Desktop\/git.xdrm.io\/neural-network.php\/build\/neuralnetwork\/storage\/test\/test1.ex","exists":false},"gn":{"filename":"\/home\/xdrm-brackets\/Desktop\/git.xdrm.io\/neural-network.php\/build\/neuralnetwork\/storage\/test\/test1.gn","exists":false},"ft":{"filename":"\/home\/xdrm-brackets\/Desktop\/git.xdrm.io\/neural-network.php\/build\/neuralnetwork\/storage\/test\/test1.ft","exists":false},"ln":{"filename":"\/home\/xdrm-brackets\/Desktop\/git.xdrm.io\/neural-network.php\/build\/neuralnetwork\/storage\/test\/test1.ln","exists":false}}} \ No newline at end of file diff --git a/config/neural-network.json b/config/neural-network.json index e420d7a..af81521 100644 --- a/config/neural-network.json +++ b/config/neural-network.json @@ -2,7 +2,7 @@ "storage_parent": "/build/neuralnetwork/storage", "default": { - "mutation_threshold": 0.3, + "mutation_threshold": 0.5, "fitness_end": 1, "storage": "_buffer", "hidden_layers": 2, diff --git a/public/main.php b/public/main.php index c48068e..78d1149 100644 --- a/public/main.php +++ b/public/main.php @@ -32,9 +32,10 @@ $nn = NeuralNetwork::create(50, 1000); $nn->setHiddenLayersCount(4); - $nn->setHiddenLayerNeuronsCount(3); + $nn->setHiddenLayerNeuronsCount(4); $nn->setInputLayerCount(3); $nn->setOutputLayerCount(2); + $nn->setMutationThreshold(0.5); echo "$part. NeuralNetwork configured\n"; $part++; @@ -66,10 +67,12 @@ =========================================================*/ $fitness = 0; $max_fit = 0; - $nn->initLearningRoutine(function($input, $output){ + $nn->loadLearningRoutine(function($input, $output){ global $fitness; - if( $output[0] == behaviour($input)[0] ) $fitness++; - if( $output[1] == behaviour($input)[1] ) $fitness++; + $diff = [ abs($output[0] - behaviour($input)[0]), abs($output[1] - behaviour($input)[1]) ]; + + if( $diff[0] > 0 ) $fitness += 1 / $diff[0]; + if( $diff[1] > 0 ) $fitness += 1 / $diff[1]; }); echo "$part. Learning routine initialized.\n"; $part++; @@ -79,6 +82,9 @@ /* (1) For each generation */ for( $gnr = 0 ; $gnr < 50 ; $gnr++ ){ + $max_fit = 0; + $start = microtime(true); + /* (2) For each genome */ for( $gnm = 0 ; $gnm < 1000 ; $gnm++ ){ $fitness = 0; @@ -98,6 +104,8 @@ $nn->nextGenome(); } + echo "\n\t".((microtime(true)-$start))."s\n"; + }