Abstract
Artificial intelligence research has foundered on the issue of representation. When intelligence is approached in an incremental manner, with strict reliance on interfacing to the real world through perception and action, reliance on representation disappears. In this paper we outline our approach to incrementally building complete intelligent Creatures. The fundamental decomposition of the intelligent system is not into independent information processing units which must interface with each other via representations. Instead, the i ....etc

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Low power and high speed multiplication design through mixed number representation


Apeksha Reddy, VI Sem, SDMCET, Dharwad
Ashroo M Das, VI Sem, SDMCET, Dharwad



Contents

INTRODUCTION
THE ALGORITHM AND ITS VLSI ARCHITECTURE
CONVERSION FROM TWO’S COMPLEMENT TO SM NOTATION
RADIX-4 BOOTH’S ALGORITHM
SPEEDING UP THE PP ACCUMULATION
CONVERTING THE RB NUMBER INTO TWO’S COMPLEMENT NUMBER
CONCLUSION
REFRENCES
ACKNOWLEDGEMENT


What is a multiplication ?
How is multiplication done?
With what s ....etc

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This project aims to create a Topic Map for FIFA World Cup 2006.

Creating the topic map for the FIFA world cup 2006.
Representing the resulting topic map in order to make the data and information available for the users.

Information Management and Representation Using Topic Maps ....etc

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Neural network mechanisms are a relatively new and developing science in computer technologies. The particular area derives its basis from the way neurons interact and function in the natural animal brain, especially humans. The animal brain is known to operate in massively parallel manner in recognition, reasoning, reaction and damage recovery. All these seemingly sophisticated undertakings are now understood to be attributed to aggregations of very simple algorithms of pattern storage and retrieval. Neurons in the brain communicate with one a ....etc

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ABSTRACT
When it is time-consuming or expensive tomodel a plant using the basic laws of physics,
a neural network approach can be an alternative. From a control engineer’s viewpoint a twolayer
perceptron network is sufficient. It is indicated how to model a dynamic plant using
a perceptron network.


INTRODEUCTION
A neural network is basically a model structure and an algorithm for fitting the model to
some given data. The QHWZRUN DSSURDFK to modelling ....etc

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In machine learning methods, when the input data becomes extremely large, the current direct methods
require too large learning times and memory. This project investigates one sequential method to overcome this
problem. It is quite a simple method to implement and is tested using the Perceptron as the base classifier. The
perceptron converges very slowly. So it will be interesting to find out if the proposed accelerator can improve
significantly the computational times of this simple classifier. The student will try various investigations o ....etc

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ABSTRACT
Meshes are dominantly used to represent 3D models as they fit well with graphics rendering hardware. Features such as volume, moments, and Fourier transform coeffi- cients need to be calculated from the mesh representation efficiently. In this paper, we propose an algorithm to cal- culate these features without transforming the mesh into other representations such as the volumetric representa- tion. To calculate a feature for a mesh, we show that we can first compute it for each elementary shape such as a triangle or a tetrahedron, ....etc

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i need a multilayer perceptron neural network code for speech recognition. ....etc

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pls immediately i w
ant this send me fast ....etc

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Knowledge Representation for Power SystemModelling


ABSTRACT:
Modelling power systems is an area of ongoing interest in the transmission management and control systems community. Continuing development is driven by two forces. The traditional tasks of model maintenance and management must be achieved with fewer resources. At the same time, model exchange and coordination has become a priority. The latter force arises from the disaggregation of utility functions and the introd ....etc

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