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A neural network can be definite as a model of reasoning based on the human brain. The human brain incorporates nearly 10 billion neurons and 60 trillion connections, Synapses among them. By using multiple neurons concurrently, the brain can perform its functions much faster than the faster computers. Although a one neuron has a very simple structure, an army of such elements constitutes a tremendous processing power. The network which represents the connections among various neurons is known a neural network.
Stack is a portion of RAM used for saving the content of Program Counter and common purpose registers. LIFO stacks, also called as "push down" stacks, are the conceptually easi
What is Operational Research?
Give some examples of malicious data. In May 2002 year, the Norton Anti-Virus software for Windows operating systems detected around 61000 malicious programs. Several of them a
How does throwing and catching exceptions differ from using setjmp and longjmp? Ans) The throw operation calls the destructors for automatic objects instantiated as entry to th
Simplify the following expression into sum of products using Karnaugh map F(A, B, C, D) = ∑ (1,3,4,5,6,7,9,12,13) Ans. Simplification of the giv
Write the expression for Boolean function for F (A, B, C) = ∑m (1,4,5,6,7) in standard POS form. Ans: f (A,B,C )= ΣM (1,4,5,6,7) in standard POS
Network address prefixed by 1110 is a? Network address prefixed through 1110 is a multicast address.
Learning Weights in Perceptrons In detail we will look at the learning method for weights in multi-layer networks next chapter. The following description of learning in percept
What are the various functional verification methodologies Ans: TLM (Transaction Level Modelling) Linting RTL Simulation (Environment involving : stimulus generators,
short note on risk projection
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