From 86d5442838ba344bfee0992f51cf01b8b27e5da4 Mon Sep 17 00:00:00 2001
From: mirimatcode <mirimatcode@gmail.com>
Date: Wed, 22 Jan 2025 17:37:26 +0100
Subject: [PATCH] primo push

---
 hidden_layer.py | 86 +++++++++++++++++++++++++++++++++++++++++++++++++
 percettrone.py  | 26 +++++++++++++++
 single_layer.py | 38 ++++++++++++++++++++++
 3 files changed, 150 insertions(+)
 create mode 100644 hidden_layer.py
 create mode 100644 percettrone.py
 create mode 100644 single_layer.py

diff --git a/hidden_layer.py b/hidden_layer.py
new file mode 100644
index 0000000..18bd7f8
--- /dev/null
+++ b/hidden_layer.py
@@ -0,0 +1,86 @@
+from percettrone import Percettrone
+
+# rete neurale
+x = [(0,0),(0,1),(1,0),(1,1)] # Combinazioni
+#output = (0,1,1,0) # XOR Logico
+output = (0,0,0,1) # AND Logico
+corrette = 0
+
+#pin_est_1 = Percettrone(bias=-0.5)
+#pin_est_2 = Percettrone(bias=-1.5)
+#pinout = Percettrone(bias=-1)
+pin_est_1 = Percettrone(w1=0.3, w2=4, bias=0.5)
+pin_est_2 = Percettrone(w1=0.2, w2=4, bias=-0.5)
+pinout = Percettrone(w1=0.3, w2=2, bias=0)
+
+def stampa_operazione(p, y, x1, x2, isFinal, errore = 0):
+    if isFinal == 0:
+        print(f"\tW1: {p.w1}")
+        print(f"X1: {x1} -------->          ")
+        print(f"\t\t( bias: {p.bias} ) -------> Y: {y}")
+        print(f"X2: {x2} -------->          ")
+        print(f"\tW2: {p.w2}")
+    elif isFinal == 1:
+        print(f"\t\t\t\tW1: {p.w1}")
+        print(f"\t\t\tX1: {x1} -------->          ")
+        print(f"\t\t\t\t\t( bias: {p.bias} ) -------> Y: {y}")
+        print(f"\t\t\tX2: {x2} -------->          ")
+        print(f"\t\t\t\tW2: {p.w2}")
+    else:
+        print(f"\t\t\t\t\t\tW1: {p.w1}")
+        print(f"\t\t\t\t\tX1: {x1} -------->          ")
+        print(f"\t\t\t\t\t\t\t( bias: {p.bias} ) -------> Y: {y} ----> errore: {errore}")
+        print(f"\t\t\t\t\tX2: {x2} -------->          ")
+        print(f"\t\t\t\t\t\tW2: {p.w2}")
+def stampa_risultati_multilayer():
+    print("Percettrone Esterno 1:")
+    print(f"\t W1: {pin_est_1.w1}, W2: {pin_est_1.w2}, bias: {pin_est_1.bias}")
+    print("Percettrone Esterno 2:")
+    print(f"\t W1: {pin_est_2.w1}, W2: {pin_est_2.w2}, bias: {pin_est_2.bias}")
+    #print("Percettrone Interno 1:")
+    #print(f"\t W1: {pin_int_1.w1}, W2: {pin_int_1.w2}, bias: {pin_int_1.bias}")
+    #print("Percettrone Interno 2:")
+    #print(f"\t W1: {pin_int_2.w1}, W2: {pin_int_2.w2}, bias: {pin_int_2.bias}")
+    print("Percettrone OUT:")
+    print(f"\t W1: {pinout.w1}, W2: {pinout.w2}, bias: {pinout.bias}")
+
+for i in range(1,10000): #Epoche
+
+    if corrette == 4:
+        print(f"Epoche necessarie: {i-1}")
+        stampa_risultati_multilayer()
+        break
+    
+    print(f"\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tEPOCA {i}")
+    corrette = 0;
+
+    for j in range(0,4): #Combinazioni
+        print("\n")
+        y_est_1 = pin_est_1.funzione_gradino(x[j][0], x[j][1])
+        y_est_2 = pin_est_2.funzione_gradino(x[j][0], x[j][1])
+        
+        #y_int_1 = pin_int_1.funzione_gradino(y_est_1, y_est_2)
+        #y_int_2 = pin_int_2.funzione_gradino(y_est_1, y_est_2)
+        
+        yout = pinout.funzione_gradino(y_est_1, y_est_2)
+        errore = pinout.valuta(y_est_1, y_est_2, output[j])
+
+        stampa_operazione(pin_est_1, y_est_1, x[j][0], x[j][1], 0)
+        #stampa_operazione(pin_int_1, y_int_1, y_est_1, y_est_2, 1)
+        stampa_operazione(pinout, yout, y_est_1, y_est_2, 2, errore)
+        #stampa_operazione(pin_int_2, y_int_2, y_est_1, y_est_2, 1)
+        stampa_operazione(pin_est_2, y_est_2, x[j][0], x[j][1], 0)
+
+        if errore != 0:
+            #if y_est_1 != output[j]:
+            pin_est_1.correggi_pesi(x[j][0], x[j][1], errore)
+            #if y_est_2 != output[j]:
+            pin_est_2.correggi_pesi(x[j][0], x[j][1], errore)
+            #if y_int_1 != output[j]:
+            #pin_int_1.correggi_pesi(y_est_1, y_est_2, errore)
+            #if y_int_2 != output[j]:
+            #pin_int_2.correggi_pesi(y_est_1, y_est_2, errore)
+
+            pinout.correggi_pesi(y_est_1, y_est_2, errore)
+        else:
+            corrette += 1
\ No newline at end of file
diff --git a/percettrone.py b/percettrone.py
new file mode 100644
index 0000000..3c2e993
--- /dev/null
+++ b/percettrone.py
@@ -0,0 +1,26 @@
+class Percettrone:
+
+    def __init__(self, w1 = 0, w2 = 0, bias = 0, lre = 1):
+        self.w1 = w1
+        self.w2 = w2
+        self.bias = bias
+        self.lre = lre
+
+    def funzione_gradino(self, x1, x2):
+        if ((x1 * self.w1) + (x2 * self.w2) + self.bias) >= 0:
+            return 1
+        return 0
+    
+    def valuta(self, x1, x2, risultato_atteso):
+        y = self.funzione_gradino(x1, x2)
+        errore = risultato_atteso - y
+        return errore
+    
+    def correggi_pesi(self, x1, x2, errore):
+        self.bias = self.bias + (errore * self.lre)
+        #print(f"errore: {errore * self.bias}")
+        self.w1 = self.w1 + (errore * x1 * self.lre)
+        self.w2 = self.w2 + (errore * x2 * self.lre)
+
+    def get_pesi(self):
+        return (self.w1, self.w2, self.bias)
\ No newline at end of file
diff --git a/single_layer.py b/single_layer.py
new file mode 100644
index 0000000..1b062da
--- /dev/null
+++ b/single_layer.py
@@ -0,0 +1,38 @@
+from percettrone import Percettrone
+
+x = [(0,0),(0,1),(1,0),(1,1)] # Combinazioni
+output = (0,0,0,1) # AND Logico
+
+p = Percettrone()
+corrette = 0 #Fermo le epoche se termina prima
+
+def stampa_operazione(p, y, x1, x2):
+    print("\n")
+    print(f"\tW1: {p.w1}")
+    print(f"X1: {x1} -------->          ")
+    print(f"\t\t( bias: {p.bias} ) -------> Y: {y} ----> errore: {errore}")
+    print(f"X2: {x2} -------->          ")
+    print(f"\tW2: {p.w2}")
+
+# Singolo percettrone AND, OR
+def stampa_risultati_single_layer():
+    print("Percettrone:")
+    print(f"\t W1: {p.w1}, W2: {p.w2}, bias: {p.bias}")
+
+for i in range(1,100): #Epoche
+    if corrette == 4:
+        print(f"Epoche necessarie: {i-1}")
+        print(f"\t W1: {p.w1}, W2: {p.w2}, bias: {p.bias}")
+        break
+    
+    print(f"\t\t\t\tEPOCA {i}")
+    corrette = 0;
+
+    for j in range(0,4): #Combinazioni
+        y = p.funzione_gradino(x[j][0], x[j][1])
+        errore = p.valuta(x[j][0], x[j][1], output[j])
+        stampa_operazione(p, y, x[j][0], x[j][1])
+        if errore != 0:
+            p.correggi_pesi(x[j][0], x[j][1], errore)
+        else:
+            corrette += 1