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Neural architectures are appealing as mechanisms for implementing intelligence for a number of reasons. Traditional AI programs tend to be brittle and overly sensitive to noise rather than degrading gracefully such programs tend to either be right or fail completely. Neural architectures because they capture knowledge in a large number of fine grained units. Seem to have more potential for partially matching noisy and incomplete data. Neural architectures are also more robust because knowledge is distributed somewhat uniformly around the network.
(a) Describe fully in your own words the following terms: (i) Turing Test (ii) Agent (iii) Utility-based agent (b) A Mars rover has to leave the lander, collect rock sample
How many bits are required at the input of a ladder D/A converter, if it is required to give a resolution of 5mV and if the full scale output is +5V. Find the %age resolution.
What is a shift register? Can a shift register be used as a counter? If yes, explain how? Ans: Shift Register: A register wherein data gets shifted towards left or right
Define the difference between union and structure The main difference between union and structure is the storage allocation. In Union , for each variable the compiler allocates
The Credit Line The Credit Line is a set of informational facts usually found below or beside a picture of a work of art. Should the picture appear in a book, magazine, poster,
Explain the term Electronic Data Interchange (EDI). Electronic Data Interchange (EDI) may be generally easy to understand as the replacement of paper-based purchase orders alon
explain in detail about queueing process
What are the blocks of microprocessor based system 1. The Memory and I/O System 2. The DOS Operating System 3. The Microprocessor
John Lindsay sells disks that have 25 software packages that show a variety of financial functions, including net present value, internal rate of return, and other financial progra
Over fitting Considerations : Hence in left unchecked there backpropagation in multi-layer networks can be highly susceptible to overfitting itself to the training examples. B
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