Basics
Unsupervised Learning
As the name suggests, this type of learning is done without the supervision of a teacher. This learning…
July 15, 2021 · Rajil TLLatest articles
Basics
Supervised Learning
As the name suggests, supervised learning takes place under the supervision of a teacher. This learning process is dependent. During…
July 15, 2021 · Rajil TLBasics
Learning and Adaptation
As stated earlier, ANN is completely inspired by the way biological nervous system, i.e. the human brain works.…
July 15, 2021 · Rajil TLBasics
Artificial Neural Network – Building Blocks
Processing of ANN depends upon the following three building blocks − Network Topology Adjustments of Weights or Learning…
July 15, 2021 · Rajil TLBasics
Artificial Neural Network – Basic Concepts
Artificial neural networks (ANNs) or connectionist systems are computing systems inspired by the biological neural networks that constitute animal brains. Such systems learn (progressively…
July 15, 2021 · Rajil TLBasics
Distributed Reasoning
Introduction There are many reasons why we might want to implement or adopt a distributed approach to reasoning…
July 15, 2021 · Rajil TLBasics
Bayesian networks
These are also called Belief Networks or Probabilistic Inference Networks. Initially developed by Pearl (1988). The basic idea is: Knowledge in…
July 15, 2021 · Rajil TLBasics
Dempster-Shafer Models
This can be regarded as a more general approach to representing uncertainty than the Bayesian approach. Bayesian methods…
July 15, 2021 · Rajil TLBasics
Belief Models and Certainty Factors
This approach has been suggested by Shortliffe and Buchanan and used in their famous medical diagnosis MYCIN system.…
July 15, 2021 · Rajil TLBasics
Basic Statistical methods — Probability
The basic approach statistical methods adopt to deal with uncertainty is via the axioms of probability: Probabilities are…
July 15, 2021 · Rajil TL