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matlab code for functional link artificial neural networks


Posted by:
Created at: Tuesday 08th of January 2013 12:27:20 AM
Last Edited Or Replied at :Tuesday 08th of January 2013 12:27:20 AM
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i need to develop matlab code for functional link ann to make a s..................[:=> Show Contents <=:]



image segmentation brain mri matlab code with neural network


Posted by:
Created at: Friday 23rd of November 2012 02:15:40 AM
Last Edited Or Replied at :Friday 23rd of November 2012 02:15:40 AM
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mage segmentation brain mri matlab code with neur..................[:=> Show Contents <=:]



wavelet neural network matlab code free


Posted by:
Created at: Thursday 11th of October 2012 03:16:03 AM
Last Edited Or Replied at :Thursday 11th of October 2012 03:16:03 AM
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kind..................[:=> Show Contents <=:]



ARTIFICIAL NEURAL NETWORK AND FUZZY LOGIC BASED POWER SYSTEM STABILIZER


Posted by: project topics
Created at: Friday 02nd of April 2010 01:26:39 AM
Last Edited Or Replied at :Thursday 27th of February 2014 04:30:46 PM
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rgetting factor for the generator and a fuzzy logic based adaptive controller to damp oscillations. The effectiveness of the proposed PSS in increasing the damping of local and inter area system; a two area 4 machine. The ANFIS PSS uses a zero order Sugeno type fuzzy logic controller whose membership functions and consequences of also tuned by the back propagation method. The detailed description of the procedure is given in the next sections. Simulation results for a one machine infinite-bus system and one multimachine system are presented to show the effectiveness of the neuro ..................[:=> Show Contents <=:]



ARTIFICIAL NEURAL NETWORKS BASED DEVNAGRI NUMERAL RECOGNITION


Posted by: computer science technology
Created at: Saturday 23rd of January 2010 01:47:06 AM
Last Edited Or Replied at :Saturday 23rd of January 2010 01:47:06 AM
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umber of output nodes. The relation used for alpha and Nc is as follows.
g
= () 1- ___
h
g
Nc = Nc0 1- __
h
where 0, Nco are initial values.
G is current training iterations.
H is the total number of training iterations to done.
CONCLUSION
The SOM is used pattern classification. The performance achieved by SOM is better than the back propagation algorithm. Generally back propagation algorithm is used for such tasks. The disadvantages associated with back propagation algorithm such as local minima and deciding numbers of hidden units are not observed in the i..................[:=> Show Contents <=:]



Radio Network Controller


Posted by: computer science crazy
Created at: Saturday 20th of September 2008 11:52:21 PM
Last Edited Or Replied at :Friday 21st of December 2012 11:22:04 PM
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he various interfaces of the RNC..................[:=> Show Contents <=:]



Wireless Networked Digital Devices


Posted by: computer science crazy
Created at: Saturday 20th of September 2008 11:51:31 PM
Last Edited Or Replied at :Saturday 20th of September 2008 11:51:31 PM
Devices , Digital, Networked , Wireless,
he mobile nature of these devices places unique requirements on PANs,such as low power consumption, frequent make-and-break connections, resource discovery and utilization, and international regulations.

This paper examines wireless technologies appropriate for PANs and reviews promising research in resource discovery and service utilization. We recognize the need for PDAs to be as manageable as mobile phones and also the restrictive screen area and input area in mobile phone. Thus the need for a new breed of computing devices to fit the bill for a PAN. The above devices become especially ..................[:=> Show Contents <=:]



wide band code division multiple access


Posted by: lini555
Created at: Monday 22nd of March 2010 12:00:34 AM
Last Edited Or Replied at :Wednesday 01st of June 2011 12:23:58 AM
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i want exactly..................[:=> Show Contents <=:]



A microprocessor-based generator of synchronizing signal and test signal for colour T


Posted by: Electrical Fan
Created at: Sunday 04th of October 2009 04:44:14 AM
Last Edited Or Replied at :Wednesday 07th of November 2012 12:08:19 PM
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sed on microprocessor Z-80. Taking the advantage of microprocessor programming, combining with the technique of microprocessor, digital circuits and analogue devices, we use software as far as possible to generate signals directly or to simplify the controlling circuits. Those signals, such as composite sync signal, blanking signal and a series of test signals are originally realized by a number of sequential circuits and logical gates. Now, this test signal generator has smaller size, higher stability and lower cost compared with former ones which consist of more hardware. All of the programs..................[:=> Show Contents <=:]



Integrated data and voice


Posted by: Electrical Fan
Created at: Sunday 04th of October 2009 04:19:11 AM
Last Edited Or Replied at :Saturday 10th of October 2009 04:32:30 AM
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or voice) in the underlying LANs (i and j) and an interconnecting circuit (m circuits) in the backbone MAN. End-to-end blocking probabilities are calculated in terms of three components: circuit blocking probability, destination busy probability, and concurrent busy probability. larger size systems, develop an iterative algorithm that provides a computationally efficient method for the calculation of the end-to-end blocking probabilities. incorporate into this algorithm the effects of the destination busy events, demonstrating that such events could provide a significant contribution to the e..................[:=> Show Contents <=:]



Artificial Neural Networks Based Power System Restoration


Posted by: computer science crazy
Created at: Saturday 20th of September 2008 11:20:04 PM
Last Edited Or Replied at :Thursday 24th of January 2013 11:23:52 PM
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es (IRS). Each IRS is responsible for the development of an Island Restoration Plan when the power system is recovering from a wide area disturbance....................[:=> Show Contents <=:]



Biomechatronic Hand


Posted by: computer science crazy
Created at: Saturday 20th of September 2008 10:55:43 PM
Last Edited Or Replied at :Friday 15th of July 2011 11:09:38 PM
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od (sometimes excellent) reliability and robustness, but their grasping capabilities can be improved. It has been demonstrated the methodologies and knowledge developed for robotic hands can be apologies and knowledge developed for robotic hands can be applied to the domain of prosthetics to augment final performance. The first significant example of an artificial hand designed according to a robotic approach is the Belgrade/USC Hand.

Afterwards, several robotic grippers and articulated hands have been developed, for example the Stanford/JPL hand and the Utah/MIT hand which have achieved e..................[:=> Show Contents <=:]



List of mechanical Seminar topics3


Posted by: computer science crazy
Created at: Saturday 20th of September 2008 12:15:31 PM
Last Edited Or Replied at :Saturday 20th of September 2008 12:15:31 PM
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em
Re-Entry Of Space Vehicle
Supercavitation
Micro-Scale Milling
stratified charge engine
CVCC
Tip Tronic Gear transmission
STEP CAD
New Age Tyres
Smart Materials
Wind From The Sun-Power Plant
Solar Powered Refrigerator
Liquid Hydrogen as an Aviation Fuel
Robotic Pioneering
BlueTec
Active Electrically Controlled Suspension
Air Cushion Vehicles
Babbitt metal
Hyperplane
Robotic Assistants For Aircraft Inspectors
Robots In Radioactive Environments
Therrmophoresis
Modern Air Pollution Control Technologies
Common Rail Direct Injection (Crdi) Engines
Thermo Hygrometer
Fu..................[:=> 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
An Artificial Neural Network (ANN) is an information-processing paradigm that is inspired by the way biological nervous systems, such as the brain, process information. The 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 i..................[:=> Show Contents <=:]



Artificial Neural Network Systems


Posted by: computer science crazy
Created at: Sunday 21st of September 2008 01:02:44 PM
Last Edited Or Replied at :Sunday 21st of September 2008 01:02:44 PM
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h a learning process. Learning involves adjustment of synaptic connections that exist between neurons. ANN can be simulated within specialized hardware or sophisticated software. ANNs are implemented as software packages in computer or being used to incorporate Artificial Intelligence in contr..................[:=> Show Contents <=:]



Artificial Neural Networks Based Power System Restoration


Posted by: computer science crazy
Created at: Saturday 20th of September 2008 11:20:04 PM
Last Edited Or Replied at :Thursday 24th of January 2013 11:23:52 PM
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ts indicate that, this is a feasible option that should be considered for real time applications.
Artificial Neural Networks (ANNs) are computational techniques that try to obtain a performance similar to that of human?s performance when solving problems.

The building block of ANN is Artificial Neuron, which has got structural & functional similarities with biological neurons. ANN is also an efficient alternative for problem solutions where it is possible to obtain data describing the problem behavior, but a mathematical description of the process is impossible.

The proposed restorati..................[:=> Show Contents <=:]



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