CI - Computational Intelligence

Suvansh ChoudharySuvansh Choudhary
1 min read

Here, is the complete guide to excel CI semester examination.

  1. Introduction to Soft Computing

  2. Introduction to Artificial Neural Networks

  3. Adaline and Madaline

  4. Gradient Descent Method

  5. MP Neurons

  6. Linear Separability, Perceptron Learning Rule

  7. Single layer Perceptron, Multi-layer Perceptron

  8. Back Propagation

  9. RBFN (Radial Basis Function)

  10. Genetic Algorithms

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Quantum computing, Natural language modelling (NLM), Language processing, Artificial intelligence (AI), Transformer architecture, Quantum algorithms, Computational linguistics, Machine learning, NLP (Natural Language Processing), Future technology.MLdlDeep LearningArtificial neural networks

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Suvansh Choudhary
Suvansh Choudhary