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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.
BCD to gray converter using 2:1 multiplexer
Q. Illustrate why does a tea kettle sing? Answer:- There is a little attachment with a hole in it which acts as a whistle. It is inserted into the spout of the kettle as w
Q. Convert the following into SOP form 1. (A+B) (B'+C) (A'+ C) 2. (A+C) (AB'+AC) (A'C'+B) 3. (A'+B') (C'+B) Q.Convert the following into POS form 1. WYZ + XYZ + W'X'
1. Conduct a literature survey of advanced applications of the finite element method for engineering design and analysis. 2. Identify at least one application, which interests y
Explain Turing reducibility? Exponential time algorithms typically happens when we solve by searching by a space of solutions known as brute -force search
List Out the Features of Computer Memory? Features of each type of memory Type Volatile? Write able? Erase Size
Explain Three-Way Handshake Mechanism used by TCP to terminate a Session reliably. Just to guarantee that connection is sets up or terminated reliably, transfer control protoco
What are threads? A thread, sometimes termed as a lightweight process (LWP), is a fundamental unit of CPU utilization; this comprises a thread ID a register set and a stack and
Assessing Heuristic Searches: Given a particular problem you want to build an agent to solve, so there may be more than one way of justifying it as a search problem, more than
how to build PVR set-top box using raspberry
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