and pirating in the networks is very easy and it can lead to information damage or robbery and also if one compute is affected by a virus it can spread to the other easily. 3. What technology allows computer networks without wires? Wireless networking allows computer networks without wires. 4. Describe the difference between a LAN and a WAN. LAN is local area network‚ it consists of a group of networked computers that all located in one building. But WLAN is wide area network‚ it is a group of
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communicate successfully. IEEE 802.11 is a set of standards for implementing wireless local area network (WLAN) computer communication in the 2.4‚ 3.6‚ 5 and 60 GHz frequency bands. They are created and maintained by the IEEE LAN/MAN Standards Committee (IEEE 802). The base version of the standard was released in 1997 and has had subsequent amendments. These standards provide the basis for wireless network products using the Wi-Fi brand. The most prevalent is 802.11b. Equipment using
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Neural Network For Optimization An artificial neural network is an information or signal processing system composed of a large number of simple processing elements‚ called artificial neurons or simply nodes‚ which are interconnected by direct links called connections and which cooperate to perform parallel distributed processing in order to solve a desired computational task. The potential benefits of neural networks extend beyond the high computation rates provided by massive parallelism. The neural
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SHORT-TERM LOAD FORECASTING USING ARTIFICIAL NEURAL NETWORK TECHNIQUES A THESIS SUBMITTED IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF BACHELOR OF TECHNOLOGY In Electrical Engineering By MANOJ KUMAR ROLL NO. 10502053 Department of Electrical Engineering National Institute of Technology Rourkela‚2009 i SHORT-TERM LOAD FORECASTING USING ANN TECHNIQUE LOAD FORECASTING USING ARTIFICIAL NEURAL NETWORK TECHNIQUES A THESIS SUBMITTED IN PARTIAL FULFILLMENT OF THE
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to psychological therapies. History of the theories The neural network model attempts to explain that which is known about the retention and retrieval of knowledge. Neural network models have been examined for a number of years. In the mid 1940 ’s and 1950 ’s the first of the network models began to appear. These publications introduced the first models of neural networks as computing machines‚ the basic model of a self-organizing network (Arbib‚ 1995). In 1943 McCulloch and Pitts published
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Network security Security has moved to the forefront of network management and implementation. The overall security challenge is to find a balance between two important requirements: the need to open networks to support evolving business opportunities‚ and the need to protect private‚ personal‚ and strategic business information. The application of an effective security policy is the most important step that an organization can take to protect its network. It provides guidelines about the activities
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from user point of view in the context of local area network. 2. Explain the basic concepts of communications within Local Area Network with emphasis on access techniques and basic protocol. 3. Providing user services Assignment Overview: * This is an individual assignment * The student must produce a written report and must be submitted on the dateline * The student expected to present the assignment Question: You are a network engineer at a private office. You are required to
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OUTPUT Through the silicon chip . PROCESSING Through arithmetic and logical calculation and artificial intelligence MEMORY Through permanent states of neurons MEMORY Through Secondary memory ARTIFICIAL NUERAL NETWORK UPLOADING
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An introduction to Neural .. Ben Krose Networks Patrick van der Smagt Eighth edition November 1996 2 c 1996 The University of Amsterdam. Permission is granted to distribute single copies of this book for non-commercial use‚ as long as it is distributed as a whole in its original form‚ and the names of the authors and the University of Amsterdam are mentioned. Permission is also granted to use this book for non-commercial courses‚ provided the authors are noti ed of this
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ARTIFICIAL NEURAL NETWORKS INRODUCTION Over the last 25 years artificial neural networks have found its way into various applications ranging from character recognition‚ pattern recognition‚ handwriting recognition and so many others. Artificial neural networks are models inspired by the animal central nervous system which includes the brain and that of many other organisms. Frequently neural networks is used in a broad sense which group together different families of algorithms and methods. Artificial
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