New Scheme Based On AICTE Flexible Curricula
B.Tech Computer Science Engineering – VII Semester
(a) Define Computational Intelligence. Explain its components and applications in real world problems.
Computational Intelligence को परिभाषित कीजिए। इसके घटकों एवं वास्तविक जीवन की समस्याओं में इसके अनुप्रयोगों की व्याख्या कीजिए।
(b) Differentiate between Feed Forward Network and Feedback Network with suitable diagrams.
उपयुक्त आरेख सहित Feed Forward Network एवं Feedback Network में अंतर स्पष्ट कीजिए।
(a) Explain Fuzzy Sets and Membership Functions. Discuss various types of Membership Functions.
Fuzzy Sets एवं Membership Functions को समझाइए। Membership Functions के विभिन्न प्रकारों की व्याख्या कीजिए।
(b) Explain Fuzzification and Defuzzification methods with suitable examples.
उपयुक्त उदाहरण सहित Fuzzification एवं Defuzzification विधियों को समझाइए।
(a) Explain Fuzzy Inference System and Rule Based Design with neat diagram.
स्वच्छ आरेख सहित Fuzzy Inference System एवं Rule Based Design को समझाइए।
(b) Explain applications of Fuzzy Logic in Industrial and Automobile systems.
Industrial एवं Automobile Systems में Fuzzy Logic के अनुप्रयोगों की व्याख्या कीजिए।
(a) Explain Genetic Algorithm with flowchart and working principle.
Flowchart एवं कार्य सिद्धांत सहित Genetic Algorithm को समझाइए।
(b) Explain Selection Function, Fitness Function and Genetic Modeling.
Selection Function, Fitness Function एवं Genetic Modeling की व्याख्या कीजिए।
(a) Explain Crossover and Mutation operators used in Genetic Algorithms.
Genetic Algorithms में उपयोग होने वाले Crossover एवं Mutation Operators को समझाइए।
(b) Explain advantages, disadvantages and applications of Genetic Algorithms.
Genetic Algorithms के लाभ, सीमाएँ एवं अनुप्रयोगों की व्याख्या कीजिए।
(a) Explain Rough Set Theory and Set Approximation with suitable examples.
उपयुक्त उदाहरण सहित Rough Set Theory एवं Set Approximation को समझाइए।
(b) Explain Rough Membership and Decision Tree Model.
Rough Membership एवं Decision Tree Model की व्याख्या कीजिए।
(a) Explain Ant Colony Optimization (ACO) algorithm and its applications.
Ant Colony Optimization (ACO) Algorithm एवं इसके अनुप्रयोगों को समझाइए।
(b) Explain Particle Swarm Optimization (PSO) technique with working principle.
Particle Swarm Optimization (PSO) Technique एवं इसके कार्य सिद्धांत को समझाइए।
Write short notes on any two:
निम्नलिखित में से किन्हीं दो पर संक्षिप्त टिप्पणी लिखिए:
(a) Hidden Markov Model
हिडन मार्कोव मॉडल
(b) Bee Colony Optimization
बी कॉलोनी ऑप्टिमाइजेशन
(c) Learning Model
लर्निंग मॉडल
(d) Types of Computational Intelligence
कम्प्यूटेशनल इंटेलिजेंस के प्रकार
Practice time management while solving these papers
Focus on frequently asked questions and important topics
Solve all three sets to cover maximum question patterns
Download Computational Intelligence Notes in Hindi - RGPV previous year question papers for Computer Science Engineering Tutorials in Hindi 7th Semester Notes in Hindi. These RGPV question papers help you understand the exam pattern, important topics, and question distribution.