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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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ng from n to the goal, then A* will only follow the best path and never expand anything else, making it very fast. Although we can't make this happen in all cases, we can make it exact in some special cases. It's nice to know that given perfect information, A* will behave perfectly.
• If h(n) is sometimes greater than the cost of moving from n to the goal, then A* is not guaranteed to find a shortest path, but it can run faster.
• At the other extreme, if h(n) is very high relative to g(n), then only h(n) plays a role, and A* turns into BFS.
So we have an interesting situation in that w..................[:=> 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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ion are specific to the representation used in GP, each new representation tends to need new crossover and mutation operators. For example ripple crossover is a way of looking at crossover in grammatical evolution
3.4 Fitness function
Each individual in a population is assigned a fitness value as a result of its interaction with the environment. Fitness is the driving force of Darwinian natural selection and, likewise, of genetic algorithms. The environment is a set of cases which provides a basis for evaluating the fitness of the S-expressions in the population For most of the problems de..................[:=> 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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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
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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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on to unsupervised neural networks, in particular Kohonen self-organizing maps; together with some fundamental background material on statistical pattern recognition.

One question which seems to puzzle many of those who encounter unsupervised learning for the first time is how can anything useful be achieved when input information is simply poured into a black box with no provision of any rules as to how this information should be stored, or examples of the various groups into which this information can be placed. If the information is sorted on the basis of how similar one input is with an..................[:=> 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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idual users, access patterns of pages or sites, properties of collections of documents.

Almost all standard data mining methods are designed for data that are organized as multiple ?cases? that are comparable and can be viewed as instances of a single pattern, for example patients described by a fixed set of symptoms and diseases, applicants for loans, customers of a shop. A ?case? is typically described by a fixed set of features (or variables). Data on the Web have a different nature. They are not so easily comparable and have the form of free text, semi-structured text (lists, tables) of..................[:=> 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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This paper explains the algorithm, its time complexity, applicat..................[:=> 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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them...................[:=> 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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ion, 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 to be a recent development. However, this field was established before the advent of computers, and has survived several 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 ..................[:=> Show Contents <=:]



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