April 2024
Intermediate to advanced
832 pages
29h 31m
English
Content preview from Design and Analysis of Algorithms
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Chptr 13
Nr Algts—GA, SA, ANN, TS
Objectives
After reading this chapter, you should understand:
•
Why do we need Natural Algorithms - Where traditional algorithm design
strategies fail
•
Evolution
•
Mutation and its signifi cance
•
Working of a Genetic Algorithm – Why they work, how do they differ from random search
•
Simulated Annealing – Principles and applicability
•
Artifi cial Neural Networks – Similarities and differences with Human Brain
•
Artifi cial Neural Networks – Types, principles and applicability
•
A single Artifi cial Neuron – How it processes inputs
•
Electronic Implementation of Artifi cial Neural Networks
•
Supervised ...
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