Neuron Math Simulator
A scientifically accurate mathematical model of a single AI neuron.
Adjust the inputs (x) and weights (w). The neuron calculates the dot product (z) and applies an activation function to generate the output (y).
x 1. Inputs (x)
w 2. Weights (w) & Bias (b)
Bias (b)
0.00
f 4. Activation Function
∑ 3. Mathematical Operations
Dot Product (Weighted Sum)
z = (x₁ · w₁) + (x₂ · w₂) + (x₃ · w₃) + b
z =
(0 × 0) +
(0 × 0) +
(0 × 0) +
0
z = 0.000
Activation
y = f(z)
y =
y =
0.000