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## Use of A algorithm for obstacle avoidancePosted by: nit_cal Created at: Friday 30th of October 2009 05:56:55 AM Last Edited Or Replied at :Friday 30th of October 2009 05:56:55 AM | hc12 obstacle avoidance code ,
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existed like the Dijkstra and the Best First Search(BFS). • Dijkstra's algorithm works by visiting vertices in the graph starting with the object's starting point. It then repeatedly examines the closest not-yet-examined vertex, adding its vertices to the set of vertices to be examined. It expands outwards from the starling point until it reaches the goal. Dijkstra's algorithm is guaranteed to find a shortest path from the starting point to the goal, as long as none of the edges have a negative cost. • The Best-First-Search (BFS) algorithm works in a similar way, except that it lias som.................. [:=> Show Contents <=:] | |||

## GENETIC PROGRAMMING A SEMINAR REPORTPosted by: Computer Science Clay Created at: Saturday 13th of June 2009 03:13:46 PM Last Edited Or Replied at :Tuesday 28th of February 2012 10:05:49 PM | genetic programming code ,
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t each locus to decide whether the corresponding offspring node should be picked from the first or
the second parent. If a node to be inherited belongs to the base of the common region and is a
function, then the sub tree rooted there is inherited as well. With this form of root than with
other operators. In context-preserving crossover, the crossover points are constrained to have the
same coordinates, like crossover, there can be a greater mixing of the code near the in one-point
crossover. Note that the crossover points are not limited to the common region. In size-fair
crossover the first ..................[:=> Show Contents <=:] | |||

## Securing the Network Routing Algorithms Download Full Seminar ReportPosted by: computer science crazy Created at: Thursday 09th of April 2009 02:28:25 AM Last Edited Or Replied at :Thursday 09th of April 2009 02:28:25 AM | crossbar network routing algorithm,
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e present a study of the various routing algorithms, which are in use presently. This study of
present algorithms is limited to their general working and the various security problems, which they
are unable to solve. Our main emphasis is on discussing a novel approach based on Leap-Frog
cryptographic signing protocol and that how this novel approach deals the various security threats,
which, its predecessors (using traditional public-key signature schemes) are unable to withstand. Download Full Seminar Report Downlaod.................. [:=> Show Contents <=:] | |||

## Self Organizing MapsPosted by: computer science crazy Created at: Wednesday 08th of April 2009 12:13:21 AM Last Edited Or Replied at :Wednesday 08th of April 2009 12:13:21 AM | signature recognition using self organizing map algorithm ,
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ps into which this information can be placed. If the information is sorted on the basis of how
similar one input is with another, then we will have accomplished an important step in condensing
the available information by developing a more compact representation. We can represent this information, and any subsequent information, in a much reduced fashion. We will know which information is more likely. This black box will certainly have learned. It may permit us to perceive some order in what otherwise was a mass of unrelated information to see the wood for the trees. In any learning sys.................. [:=> Show Contents <=:] | |||

## WEB MININGPosted by: seminar projects crazy Created at: Friday 30th of January 2009 01:22:16 PM Last Edited Or Replied at :Saturday 16th of February 2013 12:13:10 AM | web mining business value ,
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t in ?e-activities? such as e-commerce, e-learning, e-government, e-science. Independently of the
development of the Internet, Data Mining expanded out of the academic world into industry. Methods
and their potential became known outside the academic world and commercial toolkits became available
that allowed applications at an industrial scale. Numerous industrial applications have shown that
models can be constructed from data for a wide variety of industrial problems. The World-Wide Web is
an interesting area for Data Mining because huge amounts of information are available. Data Mining
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## HEURISTIC ALGORITHM FOR CLIQUE PROBLEMPosted by: seminar projects crazy Created at: Friday 30th of January 2009 12:13:43 PM Last Edited Or Replied at :Friday 30th of January 2009 12:13:43 PM | algorithms analysis ,
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as ?NP-Complete? problems. No polynomial-time algorithm has yet been discovered for an NP-Complete
problem, nor has any one yet been able to prove a superpolynomial-time lower bound for any of them.
This so called whether P ? NP ques..................[:=> Show Contents <=:] | |||

## Fast Convergence Algorithms for Active Noise Controlin VehiclesPosted by: computer science crazy Created at: Sunday 21st of September 2008 11:57:31 PM Last Edited Or Replied at :Sunday 21st of September 2008 11:57:31 PM | algorithms and flowcharting ,
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ken from an acoustic sensor convergence can be very slow due to great eigen value spread. Using a
non acoustic sensor, Such as a tachometer, cancellation of narrow band noise in the sensed
fundamental frequency and harmonically related ones can be achieved very fast, although other
periodic noises and underline broad band noise will remain. Backward prediction errors resulting at the various stages of an adaptive lattice predictor(ALP) represent a a time-domain orthogonalization of the input signal.An ALP structure, with the acoustic reference has input signal, before a FxLMS makes up the F.................. [:=> Show Contents <=:] | |||

## Neural Networks And Their ApplicationsPosted by: computer science crazy Created at: Sunday 21st of September 2008 11:28:39 PM Last Edited Or Replied at :Sunday 21st of September 2008 11:28:39 PM | an introduction to neural networks gurney,
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ral eras. Many important advances have been boosted by the use of inexpensive computer emulations.
The first artificial neuron was produced in 1943 by the neurophysiologist Warren McCulloch and the
logician Walter Pitts. Neural networks, with their remarkable ability to derive meaning from complicated or imprecise data, can be used to extract patterns and detect trends that are too complex to be noticed by either humans or other computer techniques. A trained neural network can be thought of as an expert in the category of information it has been given to analyze. This expert can then be.................. [:=> Show Contents <=:] |

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