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Use of A algorithm for obstacle avoidance


Posted 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
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s consider a heuristic function:-g'(n) = 1 + alpha * (g(n) - 1)

If alpha is 0, then the modified cost functioih will always be 1. At this setting, terrain costs are completely ignored, and A* works at the level of simple passable/impassable grid spaces. If alpha is 1, then the original cost function will be used, and we get the full benefit of A*. We
nil) set alpha anywhere in between.

W'c slmuM also consider switching from the heuristic returning the absolute minimum cost, to returning tin: expected minimum cost. For example, if most of our map is grasslands with a movement cost of 2 b..................[:=> Show Contents <=:]



GENETIC PROGRAMMING A SEMINAR REPORT


Posted 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
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his is distinct from other forms of regression such as polynomial regression in which you are merely trying to find the coefficients of a polynomial of a pre specified order. In some senses, all GP problems are symbolic regression problems, but the term is usually used to apply to finding real-valued functions. ¢ Analog circuit design-Embryo circuit-initial circuit which is modified to create a new circuit according to functionality criteria.
5. META GP
Meta-Genetic Programming is the proposed Meta learning technique of evolving a genetic programming system using genetic programming its..................[:=> Show Contents <=:]



Securing the Network Routing Algorithms Download Full Seminar Report


Posted 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
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signature schemes) are unable to withstand.

Download Full Seminar Report
Downlaod

Mirror ..................[:=> Show Contents <=:]



Self Organizing Maps


Posted 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
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., amount of alcohol vs. error rate on the computer test), conduct the customary statistical test and, finally, draw our conclusions. Our hypothesis may that the more alcohol consumed the greater the error rate we can confirm this on the basis of this experiment. Note, that we cannot prove the relationship only state that we are 99% certain (or whatever level we set ourselves) that the result is not due purely to chance.

The second experiment is much more open-ended (indeed, it could be argued that it is not really an experiment).Data is collected from a large number of drives those that h..................[:=> Show Contents <=:]



WEB MINING


Posted 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
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Web has made an enormous amount of information electronically accessible. The use of email, news and markup languages like HTML allow users to publish and read documents at a world-wide scale and to communicate via chat connections, including information in the form of images and voice records. The HTTP protocol that enables access to documents over the network via Web browsers created an immense improvement in communication and access to information. For some years these possibilities were used mostly in the scientific world but recent years have seen an immense growth in popularity, supporte..................[:=> Show Contents <=:]



HEURISTIC ALGORITHM FOR CLIQUE PROBLEM


Posted 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
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Clique problem. I have succeeded in developing an algorithm which will give the maximum size Clique, for a given graph G, as its output. This paper explains the algorithm, its time complexity, applications and its implementation in C. This is a research paper based on an interesting class of problems known 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 question has been one of the deepest, most perplexing open rese..................[:=> Show Contents <=:]



Fast Convergence Algorithms for Active Noise Controlin Vehicles


Posted 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
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signal dependent convergence, which is determined by the eigen value spread of the underlying corelation matrix of the input signal.When working in nonstationary environments such as automobiles, slow convergence is a critical problem, since we would desire to cancel transient noise, which occurs at the vehicle start-ups, stops or gear-Shifts, or with sudden changes of engine speeds or road noise from tyres.

A practical solution to this problem, very commonly used, is to use non acoustic sensors, such as tachometer instead of acoustic ones and artificially generate the signal to use as ref..................[:=> Show Contents <=:]



Neural Networks And Their Applications


Posted 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
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e key element of this paradigm is the novel structure of the information processing system. It is composed of a large number of highly interconnected processing elements (neurons) working in unison to solve specific problems. ANNs, like people, learn by example. An ANN is configured for a specific application, such as pattern recognition or data classification, through a learning process. Learning in biological systems involves adjustments to the synaptic connections that exist between the neurons. This is true of ANNs as well.



Historical background
Neural network simulations appear ..................[:=> Show Contents <=:]



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