BEE056 Neural Networks & Fuzzy Systems Syllabus
AKTU B.Tech · 3rd Year · Unit-wise syllabus (effective 2024-25)
BEE056 Neural Networks & Fuzzy Systems (also written as KEE056) is a subject in the 3rd year of the AKTU B.Tech programme, prescribed by Dr. A.P.J. Abdul Kalam Technical University. The syllabus is divided into 5 units: Unit-I, Unit-II, Unit-III, Unit-IV, Unit-V. The complete unit-wise topic list, course outcomes and reference books are given below, taken from the official AKTU syllabus effective from 2024-25.
BEE056 Subject Details
| Subject Code | BEE056 / KEE056 |
|---|---|
| Subject Name | Neural Networks & Fuzzy Systems |
| University | Dr. A.P.J. Abdul Kalam Technical University (AKTU) |
| Course | B.Tech (Bachelor of Technology) |
| Year / Semester | 3rd Year |
| Total Units | 5 |
| Scheme Effective From | 2024-25 |
| Last Verified | 2026-08-19 |
BEE056 Neural Networks & Fuzzy Systems Unit-Wise Syllabus
Official AKTU syllabus (effective 2024-25) — 5 units.
Unit 1: Unit-I
Unit-I: Neural Networks-1(Introduction & Architecture): Neuron, Nerve structure and synapse, Artificial Neuron and its model, activation functions, Neural network architecture: single layer and multilayer feed forward networks, recurrent networks. Various learning techniques; perception and convergence rule, Auto-associative and hetro- associative memory.
Unit 2: Unit-II
Unit-II: Neural Networks-II (Back propogation networks): Architecture: perceptron model, solution, single layer artificial neural network, multilayer perception model; back propogation learning methods, effect of learning rule co-efficient ;back propagation algorithm, factors affecting back propagation training, applications.
Unit 3: Unit-III
Unit-III: Fuzzy Logic-I (Introduction): Basic concepts of fuzzy logic, Fuzzy sets and Crisp sets, Fuzzy set theory and operations, Properties of fuzzy sets, Fuzzy and Crisp relations, Fuzzy to Crisp conversion.
Unit 4: Unit-IV
Unit-IV: Fuzzy Logic –II (Fuzzy Membership, Rules): Membership functions, interference in fuzzy logic, fuzzy if-then rules, Fuzzy implications and Fuzzy algorithms, Fuzzyfications & Defuzzificataions, Fuzzy Controller, Industrial applications.
Unit 5: Unit-V
Unit-V: Fuzzy Neural Networks: L-R Type fuzzy numbers, fuzzy neutron, fuzzy back propogation (BP), architecture, learning in fuzzy BP, inference by fuzzy BP, applications.
BEE056 Course Outcomes
- Upon the completion of the course, the student will be able to: K3
- CO 1 Apply the concepts of feed forward neural networks and their learning techniques. K5
- CO2 Comprehend the architecture, develop algorithms and apply the concepts of back
- K4
- propagation networks. K5
- K3
- CO3 Differentiate between the fuzzy and the crisp sets, apply the concepts of fuzziness
- CO4 and the fuzzy set theory.
- CO5 Select the membership functions, write rules and develop the fuzzy controller for
- Industrial applications.
- Demonstrate the working of fuzzy neural networks and identify its applications.
- K1 – Remember K2 – Understand K3 – Apply K4 – Analyze K5 – Evaluate K6 – Create
BEE056 Reference Books
- Kumar Satish, “Neural Networks” Tata Mc Graw Hill
- S. Rajsekaran & G.A. Vijayalakshmi Pai, “Neural Networks, Fuzzy Logic and Genetic
Frequently Asked Questions about BEE056
What is the syllabus of BEE056 Neural Networks & Fuzzy Systems?
The AKTU BEE056 Neural Networks & Fuzzy Systems syllabus is divided into 5 units: Unit-I; Unit-II; Unit-III; Unit-IV; Unit-V. The complete topic list for each unit is published on this page, taken from the official Dr. A.P.J. Abdul Kalam Technical University syllabus effective from 2024-25.
How many units are there in BEE056?
BEE056 Neural Networks & Fuzzy Systems has 5 units in the AKTU syllabus.
Is BEE056 the same subject as KEE056?
Yes. AKTU renumbered its B.Tech subject codes from the 2022-23 session onwards, so the same subject appears as BEE056 and KEE056 depending on the scheme year. The syllabus content is the same.
Where can I download BEE056 previous year question papers?
AKTU B.Tech previous year question papers for every semester are available to download free on Ryzenstudy, with no login or registration required.
Is this the official AKTU syllabus for BEE056?
Yes. Every topic on this page is taken from the official Dr. A.P.J. Abdul Kalam Technical University syllabus document (AKTU B.Tech 3rd Year Electrical Engineering Syllabus), effective from 2024-25. A direct link to the original AKTU PDF is provided at the top of this page. Last verified on 2026-08-19.
Related AKTU Syllabus
Source: Dr. A.P.J. Abdul Kalam Technical University official syllabus — AKTU B.Tech 3rd Year Electrical Engineering Syllabus, effective from 2024-25. Ryzenstudy is not affiliated with AKTU. Content last verified on 2026-08-19.