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Implementation of Hopfield Neural Network using Double Gate MOSFET. Subtitle

Автор:   Amit B.
мягкая обложка
100 страниц
2009 год
Издательство:   Книга по Требованию
1978 руб
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Описание:This is explained in regards to N-queens problem. Stability criterion of the network can be used as a cost function and when the network reaches its stable point, this corresponds to a solution. The current work uses the chaos theory with focus on electrical circuits. The opamp based hysteresis neuron model is implemented and its stability is explained. Once we are able to build this analog circuit representation of the network, the solution can be obtained in a constant time irrespective of the network size. Chaotic phenomenon has a good ability to search for an optimal solution of a problem with many local minima. Chua’s circuit is a good example to demonstrate the type of non- linearity in the electrical circuit which causes chaos. The hysteresis neuron model is implemented using the double gate MOSFET. The circuit topology for solving 8-queens problem is proposed that can be extended to N-queens.

Orthomol Immun Junior Сила иммунитета на страже Вашего ребенка Orthomol Immun Junior Сила иммунитета на страже Вашего ребенка

2990 руб
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Standard Template Library Programmer's Guide

He was an expert in graph and network algorithms, and I convinced him that some of the ideas of high order and generic programming were applicable to graph algorithms. He had some grants and provided me with support to start working with him to apply these ideas to real network algorithms. He was interested in building a toolbox of high order generic components so that some of these algorithms could be implemented, because some of the network algorithms are so complex that while they are theoretically analyzed, but never implemented. I decided to use a dialect of Lisp called Scheme to build such a toolbox. Aaron and I developed a large library of components in Scheme demonstrating all kinds of programming techniques. Network algorithms were the primary target. Later Dave Musser, who was still at GE Research, joined us, and we developed even more components, a fairly large library. The library was used at the university by graduate students, but was never used commercially. I realized during this activity that side effects are important, because you cannot really do graph operations without side effects ...»

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Artificial Neural Network inversion in Geoelectrics. Modeling and inversion of geophysical resistivity data using artificial neural network
Modern data processing techniques based on the concepts of Artificial Neural Networks (ANN), which works on the analogy of human brain, has emerged as one of the most powerful alternative perspectives for complex geo-data analysis.
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While establishing global results, these approaches are only applicable to systems transformable to output feedback form.
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A Study of Adaptive Control Based on CMAC Neural Network. Design and Application for Unknown Nonlinear System
In this book, a new hybrid adaptive cerebeller model articulation controller (CMAC) sliding mode control system is developed.
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The implementation of the Back-Propagation Algorithm to predict the location and severity of the damage in a bridge deck Damage Detection of Bridge Decks Using Artificial Neural Networks.
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          2005 руб             2008 год          56 стр.          мягкая обложка

Нейронные сети. Методология и технологии современного анализа данных Statistica Neural Networks:
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Models for Calculating Confidence Intervals for Neural Networks. A Study
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          2413 руб             2008 год          128 стр.          мягкая обложка

RF-Based Location Determination In Heterogeneous Sensor Networks. Localization In Wireless Sensor Networks Using Particle Filters Over Rayleigh Fading Channels
A major development that has been presented in this book leads to significant increase in the positioning accuracy.
          2005 руб             2009 год          100 стр.          мягкая обложка

ANN for Voltage Stability Monitoring and Enhancement. Application of Artificial Neural Networks for Online Voltage Stability Monitoring and Enhancement of an Electric Power System
Next two chapters present the details of the innovative methods developed in this research for online voltage stability monitoring using ANN.
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Biologically Inspired Neural Networks. Models, Learning, and Applications
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          3231 руб             2009 год          256 стр.          мягкая обложка

Using Cross-Layer Approach Reliable Multicast Transmission over Satellite Networks.
The simulation results demonstrate that the traffic volume in the return link is reduced as compared to a system without any mechanism for CSI collection.
          2602 руб             2011 год          200 стр.          мягкая обложка

Gene Regulatory Networks Construction. Construction of Gene Regulatory Networks Using Bayesian Network and Biclustering
GRN help us to understand the disease ontology and to reduce the cost of drug development.
          2277 руб             2010 год          156 стр.          мягкая обложка

Numerical Simulation of Gas Pipeline Networks: Theory, Computational Implementation, and Industrial Applications
These methods can be applied both at the stage of a pipeline network' s design and at the stage of its operation. They allow for the development of efficient automated hardware and software systems for the early detection and prevention of dangerous malfunctioning of a pipeline network. They can be of use for development and efficiency analysis concerning anti-terrorist activities at big industrial energy plants. Practical applications of computation technologies and methods of numerical simulation are illustrated with examples of solving industrial problems for gas industry enterprises. The authors demonstrate the efficiency of these technologies and the methods for improving the safety of the oil pipeline networks serving thermal power stations. The book is intended for scientists and engineers who deal with the design of pipeline networks, the analysis of their actual state, pipeline network insurance and control, improving their industrial safety and environmental friendliness, in the context of a wide range of environment-oriented measures. The material is also comprehensible to graduate students in technical high schools. The application of these methods and technologies is aimed at an integrated assessment of the state of the gas pipeline networks of industrial enterprises and the creation of efficient safe modes for their operation. The book considers computation technologies and methods for numerical simulation intended for solving the problems of improving the operational safety and the efficiency of industrial gas pipeline networks. This approach is based on modern methods of computational mechanics and mathematical optimization.
          3039 руб             2005 год          720 стр.          твердый переплет

Security Enhancement Schemes for Wireless Networks. Deploying Neural Nets and Digital Signatures
Authorization of users is also a very important aspect of network integrity.
          2744 руб             2009 год          188 стр.          мягкая обложка

Adaptive Task Selection using Threshold Techniques in Sensor Networks. Ideas, Abstractions, and Applications
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          3212 руб             2009 год          296 стр.          мягкая обложка

Using Network Application Behavior to Predict Performance
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Kerberos Security in a Client-Server System Management Application. The Implementation of an Authentication Mechanism Using the Generic Security Services API
The integration of Kerberos into this architecture using the Generic Security Service Application Programming Interface is analyzed and the problems between the Linux and the Windows implementation are discussed.
          2005 руб             2008 год          92 стр.          мягкая обложка

Progressive In-Network Reliability for Wireless Sensor Networks. A novel data reliability framework that progressively recovers errors without fast depleting individual sensors using capacity approaching LDPC codes
This monolog considers the case of reliable data transmission in energy constrained Wireless Sensor Networks (WSNs).
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Mapping task graphs onto Network Processors using genetic algorithm. Multi-Task Processing
This work will also enable researchers and engineers to systematically evaluate and quantitatively understand the NPs system issues including application partitioning, architecture organizing, workload mapping and run-time operating This book presents an automated task scheduling technique to address this parallel programming complexity.
          2005 руб             2009 год          56 стр.          мягкая обложка

With the help of limited routing information at the MAC layer, this new mechanism, utilizing a new Pioneer (PION) scheduling frame, enables multiple stations along a delivery path to cooperate.
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Function Approximation Using Generalized Adalines. Fundamental Multi-state Neural Organizations
In this work, we generalize the bipolar threshold function to multi-state transfer function successfully and prove that adaline and perceptron are special cases of it. The supervised learning process is modeled by a mathematical framework mixed with integer and linear programming and solved by a hybrid of mean field annealing and gradient descent methods according to the criteria of minimizing design cost, maximizing utilization of Gaussian units subject to minimal model size.
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Gaza Strip Case Study Groundwater Quality Monitoring Networks Redesign Using Entropy Theory.
The contribution of this thesis to the knowledge is to utilize the entropy theory for quantifying the information by means of a discrete approach and to use the entropy theory in groundwater quality monitoring network assessment and redesign.
          3231 руб             2009 год          264 стр.          мягкая обложка

Study of Morphology of Urdu Language, for its Computational Modeling. Study of Morphological Patterns in Urdu Language, and Partial Implementation of Computational Solution for the same using a Finite State Tool
Urdu is rich in generating nouns from existing noun and non-noun words, and using inflections even for gender of un- animated items, which is not possible in English.
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An Efficient Disconnected Operation Protocol in SAN File System. A study about authentication and safe data accessing in SAN distributed file system using disconnected operation protocol with implementation
Chapter 5 proposes a protocol for SAN file system which is disconnected operation oriented.
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Using Dominating Sets to Improve the Performance of ad hoc Networks. Enhancing Basic Communication Mechanisms in Mobile Ad Hoc Networks
Coordination in ad hoc networks includes operations such as neighborhood discovery, organization of nodes (i. e. , topology control and clustering), and routing.
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Modeling on Priority of Success Factors in Procurement using Fuzzy AHP. A Buyer-centric Case Study on e-Government Implementation in Myanmar
Governments in every administrative level are buying technological objects (e. g. hardware or software) or non-technology ones from various private sources.
          1891 руб             2010 год          120 стр.          мягкая обложка


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