Minor changes to tidy up code

codinghead · codinghead · commit a62dabdc91ae · 2021-02-17T23:46:58.000+01:00
diff --git a/arduino/neural/Neural.cpp b/arduino/neural/Neural.cpp
@@ -11,10 +11,6 @@ static double sigmoid(double x) {
   return (1 / (1 + exp(-x)));
 }
 
-static double derivativeSigmoid(double x) {
-  return (sigmoid(x) * (1 - sigmoid(x)));
-}
-
 Neural::Neural(int inputs, int hidden, int outputs)
 {
     // Set all variables to zero to start that don't have to be defined here
diff --git a/arduino/neural/Neural.h b/arduino/neural/Neural.h
@@ -41,21 +41,21 @@ class Neural
         void    calculateOutput();
         
         void    setLearningRate(double bias);
-        double   getLearningRate();
+        double  getLearningRate();
         void    setBiasInputToHidden(double bias);
-        double   getBiasInputToHidden();
+        double  getBiasInputToHidden();
         void    setBiasHiddenToOutput(double bias);
-        double   getBiasHiddenToOutput();
+        double  getBiasHiddenToOutput();
         void    turnLearningOn();
         void    turnLearningOff();
         void    setInputNode(int node, double value);
-        double   getInputNode(int node);
+        double  getInputNode(int node);
         void    setOutputNodeDesired(int node, double value);
-        double   getOutputNodeDesired(int node);
+        double  getOutputNodeDesired(int node);
         int     getNoOfInputNodes();
         int     getNoOfHiddenNodes();
         int     getNoOfOutputNodes();
-        double   getOutputNode(int node);
+        double  getOutputNode(int node);
         void    displayInputToHiddenWeightsCurrent();
         void    displayHiddenToOutputWeightsCurrent();
         void    turnVerboseOn();
@@ -70,17 +70,6 @@ class Neural
         void    displayInputNodes();
         void    displayHiddenNodes();
         void    displayOutputNodes();
-
-/*
-
-
-void seed(int x) {
-randomSeed(x);
-}
-
-
-*/
-
 };
 
 #endif

Original file line number	Diff line number	Diff line change
`@@ -11,10 +11,6 @@ static double sigmoid(double x) {`
`11`	`11`	`return (1 / (1 + exp(-x)));`
`12`	`12`	`}`
`13`	`13`
`14`		`-static double derivativeSigmoid(double x) {`
`15`		`- return (sigmoid(x) * (1 - sigmoid(x)));`
`16`		`-}`
`17`		`-`
`18`	`14`	`Neural::Neural(int inputs, int hidden, int outputs)`
`19`	`15`	`{`
`20`	`16`	`// Set all variables to zero to start that don't have to be defined here`