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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.
Q. Can a vector have a component equivalent to zero and still have a nonzero magnitude? Answer:- Yes For example the 2-dimensional vector (1, 0) has length sqrt (1+0) = 1
A three stage network is designed with the following parameters: M=N=512, p = q = 16 and α = 0.65. Calculate the blocking probability of the network, if s=16. Symbols carry th
End-user Computing: The growing base of personal computers and local area networks in the end user community are supported. This offers installation services, training and helps de
importance of duality concep? Article Source: http://EzineArticles.com/4133733
In a JK Flip-Flop, toggle means ? Ans. Change the output to the opposite state implies the meas of toggle, in a JK Flip-Flop.
How free-space is managed using bit vector implementation? The free-space list is executed as a bit map or bit vector. Each block is shown by 1 bit. If the block is free, the b
Fundamental functional units of a computer: QUE. What are the fundamental functional units of a computer? Ans: A computer consists of 5 functionally independent major parts
The heart of an experts systems is the powerful corups of knowledge that accumulates during system building. The knowledge is explicit and organized to simplify decisio
Local minima - sigmoid units: Alternatively in addition to getting over some local minima where the gradient is constant in one direction or adding momentum will increase the
What are the attributes of the method? During implementation a process is characterized by various attributes maintain by the system: Its state Its identification
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