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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. Initial State: The first or the default state the object is in. It is indicated by a solid circle. b. State: All the states an object can go in are mentioned in this. It is
#questi on.. How it works explain
Al l exceptions in Java are subclasses of built in class called? Each exception in Java are subclasses of make in class termed as Throwable.
Explain the CCITT hierarchical structure of switching using block schematic. Hierarchical network are able of handing heavy traffic where needed, and at similar time use mini
Why IO devices cannot be directly be connected to the system bus? The IO devices cannot be directly linked to the system bus because i. The data transfer rate of IO device
Enumerate about the Specialised hardware Specialised hardware such as protected memory or cryptographic memory module for storing and protecting the keys proves to be a good s
what is hashing
The VLSI technology is still developing. More and more powerful microprocessors and more storage space now are being put in single chip. One question that we have still not conside
The major domains of AI research and development. AI applications can be grouped under three major areas cognitive science robotics and natural interfaces though these class
What are the functions of passes used in two-pass assembler? In an assembly language program, two pass translations can handle forward references early. The subsequent task
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