Artificial Neural Network in detail

Most demanding topic ANN (Artificial Neural Network) with all its Need, Types & Features.

What are Artificial Neural Networks?

Artificial Neural Networks are software implementations of the neural structures of human brain. ANN is a computational system influenced from the structure, processing capability and learning ability of a human brain.

There are two types of learning:

1. Supervised Learning

This algorithm consist of a target/outcome variable (or dependent variable) which is to be predicted from a given set of predictors (independent variables).

Supervised learning classified into two categories of algorithms:

• Classification: (output variable is a category)

eg: "disease" and "no disease"

• Regression: (output variable is a real value)

eg: "dollars" or "weight"

Algorithms : Regression, Decision Tree, Random Forest, KNN, Logistic Regression, support vector machines(SVN), Pattern matching

    2. Unsupervised learning 

• In this algorithm, we do not have any target or outcome variable to predict / estimate.

It is again classified into two categories of algorithms:-

• Clustering: A clustering problem is where you want to discover the inherent groupings in the data, such as grouping customers by purchasing behavior.

• Association: An association rule learning problem is where you want to discover rules that describe large portions of your data, such as people that buy X also tend to buy Y.

• Examples : Apriori algorithm, K-means, Self-organizing Map, Hopfield Network

Characteristic of Artificial Neural Networks

• An Artificial Neural Network consists of large number of  “neuron” like processing elements.
• All these processing elements have a large number of weighted connections between them.
• The connections between the elements provide a distributed representation of data.
• A Learning Process is implemented to acquire knowledge.

ISRO PYQ

Q) A Neural Network can answer

1. For Loop questions
2. what-if questions
3. IF-The-Else Analysis Questions
4. None of these

Ans: b

For detailed explanation click on the video from our Educator Rashmi Prabha. 

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