R23
ECE · 4-1
✓ VERIFIED VS. PUBLISHED SYLLABUS 2026-07-12
Soft Computing Techniques
JNTUK R23 · ECE · semester 4-1 · syllabus
This JNTUK R23 professional elective is listed for Electronics and Communication Engineering (ECE). It is listed in semester 4-1. It carries 3 credits. The published coverage runs across 5 units, from Unit I through Unit V.
Verified vs. published syllabus
Checked 12 Jul 2026
SOURCE DOCKET
Published evidence
✓ Verified
Checked 12 Jul 2026
Record 5 published units
Verification scope The course structure, credits, and unit-wise syllabus are sourced directly from JNTUK's official revised R23 ECE course structure and syllabus.
5 units, from Unit I to Unit V. Tick off units as you cover them — your progress stays on this device.
Unit-wise syllabus
0 / 5 COVERED
UNIT 01 — Unit I
Introduction to soft computing: Introduction, Artificial Intelligence, Artificial Neural Networks, Fuzzy systems, Genetic Algorithm and Evolutionary programming, Swarm Intelligent systems, Expert systems, Comparison among Intelligent systems.
UNIT 02 — Unit II
Artificial Neural Networks: Introduction to Artificial Neural Networks, Classification of ANNS, First generation neural networks, Perceptron network, Adaline, Madaline, Second generation neural networks, Back propagation neural networks, Hopfield Neural Network, Kohonen neural network, Hamming neural network, Radial basis function neural networks, spike neuron models.
UNIT 03 — Unit III
Fuzzy Logic System: Introduction to fuzzy logic, classical sets and fuzzy sets, fuzzy set operations, fuzzy relations, fuzzy composition, natural language and fuzzy interpretations, fuzzy inference system, fuzzy controllers
UNIT 04 — Unit IV
Genetic Algorithm: Introduction to Genetic algorithms, Genetic algorithms, procedures of Gas, working of Gas, Travelling sales man problem, Evolutionary programming, working principle of GA Machine learning classifier system
UNIT 05 — Unit V
Swarm Intelligent system Introduction to swarm intelligence, back ground, Ant colony system, working of ant colony optimization, Particle swarm intelligent systems, Artificial bee colony system, cuckoo search algorithm..