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
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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)
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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(∑wixi+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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