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11-30-2011, 02:29 PM
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cs607 final term paper 2011
My today's cs607 current papper
Saba attempt on 7:30AM Remember me in your prayers and must share with me ur own current and past solved papers of cs 609 as soon as possible. ü Planning phase of the linear model? ü Explain Learning? ü Explain Planning? ü What Is Information Gain? ü 2 main functions of brain in human system? ü Advantages of ANNs? ü Why clustering is the example of unsupervised ? ü Application of the fuzzy operators to antecedent? ü Machine Learning in Expert system? 5 marks ü Given statement is about version space or concept space? 5marks ü Robot featured? 5 marks MCQS are mostly from our latest quizzes and some from mid term lectures, We can get optimal solution given some parameters using Genetic Algorithm. Select correct option: True False ___________ reasoning is based on forming, or inducing a ‘generalization’ from a limited set of observations. Select correct option: Deductive Abductive Analogical Inductive ______ is the process of deriving logical conclusions from given facts. Select correct option: Representation Execution Reasoning Planning Identify the correct step used to start designe of an expert system. Select correct option: Feasiblity study CORRECT Problem recognization Scope study Rapid prototyping Inductive learning is based on the knowledge that if something happens a lot it is likely to be generally _________ Select correct option: True CORRECT False Ambiguous None of the given If the antecedent is only partially true, then the output fuzzy set is truncated according to the _________ method Select correct option: Intrinsic Implication CORRECT Boolean None of the given Question # 8 of 10 ( Start time: 10:46:28 PM ) Total Marks: 1 Choose the fields in which Fuzzy inference systems have been successfully applied: Select correct option: automatic control data classification decision analysis All of the given CORRECT Question # 9 of 10 ( Start time: 10:46:44 PM ) Total Marks: 1 Usually a _________ graph is chosen to represent a fuzzy set. Select correct option: Triangular CORRECT Circular Conical None of the given Question # 10 of 10 ( Start time: 10:46:57 PM ) Total Marks: 1 Fuzzy logic is actually a superset of conventional boolean logic Select correct option: TRUE CORRECT FALSE Reasoning in fuzzy logic is just a matter of generalizing the familiar _________ logic. Select correct option: Boolean CORRECT Complex Coagnitive Supervised Question # 8 of 10 ( Start time: 10:53:39 PM ) Total Marks: 1 A classical set is a container, which wholly includes or wholly excludes any given element. Select correct option: TRUE CORRECT FALSE Question # 9 of 10 ( Start time: 10:53:52 PM ) Total Marks: 1 The degree of truth that we have been talking about is specifically driven out by a function called the ___________ function. Select correct option: Membership CORRECT Ordinary Fuzzy Inline Question # 2 of 10 ( Start time: 10:27:24 AM ) Total Marks: 1 The tractable problems are further divided into structured and ________ problems Select correct option: Non-structured Complex Simple If the antecedent is only partially true, then the output fuzzy set is truncated according to the _________ method Select correct option: Intrinsic Implication MSE stands for Mean Square Error Any statement can be ?? fuzzy discuss ID3 in decision tree representaion(5marks) ESDLC stages(5marks) discuss POP algorithm(5 mrks) linear model,s phases any 5(3 marks) what is robotics?write the name of diffrent active areas involved in robotics?(3 marks) diffrentiate find s and candidate elamination algorithms(2marks) which is best techniq to go from h<?,?>to h<fi,fi>(2marks) what is knowledge aqcuisition?(2 marks) how we can represent fuzzy sets?(2 marks) what is computer vision(2 marks) mcqs latest humary hi quizez mian say thay zada .kuch mid term main say b thay....\ 53 total 40 mcqs ( all r frm past papers +8 new) 13 descrptive 5 questions of 2 marks 1)truth table of And operator in fuzzy system 2)what is inductive learning 3)what is hypothesis space 4)why we need validation while training 5) Consider a situation in which we want to find relationship between input and given data by using genetic algorithm. which application field of GA this problems belongs to. 5 questions of 3 marks 1)what is ID3 2) Advantages of ANNs 3)application area of computer vision 4)law of excluded middle 5) situation about BFS 3 questions of 5 marks 1) steps of unsupervised learning methodology 2)three phases of machine learning 3) how to apply implication method 53 total 40 mcqs ( all r frm past papers +8 new) 13 descrptive 5 questions of 2 marks 1)truth table of And operator in fuzzy system 2)what is inductive learning 3)what is hypothesis space 4)why we need validation while training 5) Consider a situation in which we want to find relationship between input and given data by using genetic algorithm. which application field of GA this problems belongs to. 5 questions of 3 marks 1)what is ID3 2) Advantages of ANNs 3)application area of computer vision 4)law of excluded middle 5) situation about BFS 3 questions of 5 marks 1) steps of unsupervised learning methodology 2)three phases of machine learning 3) how to apply implication method 
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Linear Mode
