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Artificial Neuron Explained in Hindi | Dendrite Axon Cell Body |

Автор: CSE x Typhon | Exam • Jobs • Tech • AI

Загружено: 2026-02-11

Просмотров: 3

Описание: Neuron human nervous system ki basic structural aur functional unit hoti hai. Biological neuron ke structure aur working ko samajhkar Artificial Neural Network (ANN) develop kiya gaya hai. Artificial neuron biological neuron ka mathematical model hai jo input signals ko process karke output generate karta hai.

Is topic me hum biological neuron ke parts (dendrite, cell body, nucleus, axon) aur unka artificial neuron se relation samjhenge.

🧬 1. Biological Neuron
4

Biological neuron brain aur nervous system me information transmit karta hai.

Main Parts:
1️⃣ Dendrites

Tree-like structure

Dusre neurons se signals receive karte hain

Input signal lene ka kaam

2️⃣ Cell Body (Soma)

Neuron ka main body part

Signals ko process karta hai

Isme nucleus hota hai

3️⃣ Nucleus

Cell body ke andar hota hai

Genetic information store karta hai

Cell activities control karta hai

4️⃣ Axon

Long fiber-like structure

Processed signal ko next neuron tak bhejta hai

Output transmission ka kaam

⚡ Working of Biological Neuron

Dendrites signal receive karte hain

Cell body un signals ko process karti hai

Agar signal threshold se zyada hua → Axon activate hota hai

Signal next neuron ko transfer ho jata hai

🤖 2. Artificial Neuron (Artificial Neural Network Model)
4

Artificial neuron biological neuron ka simplified mathematical model hai.

Components of Artificial Neuron:
1️⃣ Inputs (X1, X2, X3...)

Dendrites ke equivalent

Input signals

2️⃣ Weights (W1, W2, W3...)

Signal importance batate hain

Learning ke time adjust hote hain

3️⃣ Summation Function (∑)

Sab inputs ko add karta hai

Mathematical processing

4️⃣ Bias

Threshold control karta hai

5️⃣ Activation Function

Decide karta hai output 0 ya 1 hoga

Examples: Step, Sigmoid, ReLU

6️⃣ Output (Y)

Axon ke equivalent

Final result

🔁 Biological vs Artificial Neuron (Comparison)
Biological Neuron Artificial Neuron
Dendrite Inputs
Cell Body Summation Unit
Nucleus Control Logic
Axon Output
Synapse Weights
🧮 Mathematical Model

Artificial neuron ka formula:

y=f(∑wi​xi​+b)

Yaha:

Xi = Input

Wi = Weight

b = Bias

f = Activation Function

🎯 Importance in Soft Computing

Pattern Recognition

Image Processing

Speech Recognition

Machine Learning

Deep Learning

Artificial neurons milkar Neural Network banate hain jo complex problems solve karte hain.
Artificial Neuron in Hindi
Biological Neuron in Hindi
Soft Computing Unit 1
ANN basics
Dendrite Axon explanation
Cell body nucleus neuron
Perceptron model Hindi
Neural Network basics
ANN for beginners
Soft Computing semester notes
Biological vs Artificial neuron
Activation function explained

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