Skip to main content
Super TutorResources
Chapter 4 of 10
Syllabus

Artificial Neural Networks (ANN) — Syllabus

ICSE · Class 12 · Artificial Intelligence

What Artificial Neural Networks (ANN) covers in ICSE Class 12 Artificial Intelligence: 4 topics, for the 2026-27 session.

70 questions42 flashcards5 concepts

Interactive on Super Tutor

Studying Artificial Neural Networks (ANN)? Get the full interactive chapter.

Quizzes, flashcards, AI doubt-solver and a step-by-step study plan — built for syllabus and more.

Try Super Tutor — Free

Free trial, no card needed.

4 Topics · ICSE Class 12 Artificial Intelligence · 2026-27

Topics in Artificial Neural Networks (ANN)

1

1. Core Idea of ANN

  • ANN is an acronym for Artificial Neural Network.
  • An ANN is a computing system inspired by the biological brain.
  • It processes information through interconnected processing units called neurons.
2

2. Biological Neuron and Its Parts

  • A neuron has four parts: dendrites, soma, axon, and synapses.
  • Dendrites receive information from other neurons.
  • Soma or cell body processes the information received from dendrites.
3

3. Structure of an ANN

  • A neural network has input, hidden, and output layers.
  • The input layer receives raw data with no processing.
  • The hidden layer performs feature extraction and complex computation.
4

4. Forward Propagation and Backward Propagation

  • Forward propagation and backward propagation are the two phases of training an ANN.
  • Forward propagation moves data from the input layer to the output layer to generate a prediction.
  • Backward propagation uses the error between the prediction and the actual output.

Key Concepts

Central concept: Artificial Neural Network

Biological Brain InspirationNeural StructureBiological Neuron PartsTraining ProcessMultilayer PerceptronMNIST Handwritten Digit RecognitionReal-world Use and History

Work through every topic in Artificial Neural Networks (ANN) with notes and quizzes

Start This Chapter

Frequently Asked Questions

What are the important topics in Artificial Neural Networks (ANN) for ICSE Class 12 Artificial Intelligence?
Key topics in Artificial Neural Networks (ANN) include Core Idea of ANN, Biological Neuron and Its Parts, Structure of an ANN, Forward Propagation and Backward Propagation. Study these first, then practise questions on each for the ICSE Class 12 board exam.
How should I revise Artificial Neural Networks (ANN) for the ICSE Class 12 board exam?
Learn the core ideas first, then work through the 70 practice questions on Artificial Neural Networks (ANN). Revise definitions regularly and use flashcards for quick recall before the exam.

Sources & Official References

Content is aligned to the official syllabus. Refer to the board website for the latest curriculum.

More resources for Artificial Neural Networks (ANN)

All ICSE Class 12 Artificial Intelligence Syllabus

For serious students

Get the full Artificial Neural Networks (ANN) chapter — start free.

Quizzes, flashcards, an AI doubt solver and a study plan for ICSE Class 12 Artificial Intelligence. Free to start, no card needed.

Try Super Tutor Free
Try this chapter free