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Free Neural Networks Essays and Papers

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    Neural Networks

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    Neural Networks Abstract This paper will provide an introductory level discussion of neural networks within the field of artificial intelligence. This discussion will briefly cover the history of the neural network as well as recent advances within this field. In addition, several real world applications of neural networks will be discussed. Introduction The primary goal in the field of artificial intelligence is to construct a machine with an intellect comparable to that of a human. This

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    Neural Networks

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    Neural Network Neural Network, highly interconnected network of information-processing elements that mimics the connectivity and functioning of the human brain. Neural networks are a form of multiprocessor computer system, with · Simple processing elements · A high degree of interconnection · Simple scalar messages · Adaptive interaction between elements Where can neural network systems help? · Where we can't formulate an algorithmic solution. · Where we can get lots of examples of the

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    Neural Networks

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    Neural Networks A neural network also known as an artificial neural network provides a unique computing architecture whose potential has only begun to be tapped. They are used to address problems that are intractable or cumbersome with traditional methods. These new computing architectures are radically different from the computers that are widely used today. ANN's are massively parallel systems that rely on dense arrangements of interconnections and surprisingly simple processors (Cr95, Ga93)

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    Neural Networks in Investments

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    Neural Networks in Investments I. ABSTRACT Investment managers often find themselves overwhelmed with the large amount of data obtained from the financial markets. Most of the data available is numeric and noisy in nature, making the decision-making process harder. These decisions usually rely on the integration of statistical measures that attempt to compress much of the data and qualitative depictions such as graphs and bar charts with news events and other pertinent information. Investment

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    Artificial Neural Networks

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    Artificial neural networks (ANNs) were built to model the brain for the purpose of solving the problems humans alone cannot as well as to advance, artificial intelligence. To approximate organic beings and gain great computational power, to become a technological hybrid between sentient beings and advanced electronics; they are the future of advanced robotics. They can be used in miscellaneous fields such as speech recognition, prediction of stocks, weather and so on. Artificial neural networks (ANNs)

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    4 Artificial Neural Networks The study of artificial neural networks help us understand the brain, perception and human cognition and lead to the development of systems with value-added functionality to solve difficult problems. This means the development of neural networks is inspired by the human capabilities for learning, understanding and performing complex tasks with easiness and accuracy. To reference something, simply recognizing human faces, kicking a football or fetching a glass of water

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    A Neural Network Primer

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    A Neural Network Primer This paper gives the basics of the subject of neural networks. It is recommended for those new to the subject of neural networks and only assumes that the reader has a knowledge of basic algebra. Please feel free to distribute this paper as you wish but please distribute the entire paper without deletions and limit your corrections and additions to the space below the bottom line after the last paragraph of the original text. If you wish for your correction or modification

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    Artificial Neural Networks

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    Artificial Neural Networks Artificial neural networks are systems implemented on computer systems as specialized hardware or sophisticated software that loosely model the learning and remembering functions of the human brain. They are an attempt to simulate the multiple layers of processing elements in the brain, called neurons. These elements are implemented in such a way so that the layers can learn from prior experience and remember their outputs. In this way, the system can learn to recognize

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    Neural Network Concept in Artificial Intelligence Abstract Since the 1980's there have been renewed research efforts dedicated to neural networks. The present interest is largely due to the difficult problems confronted by artificial intelligence, and due to the deeper understanding of how the brain works, the recent developments in theoretical models, technologies and algorithms. One motivation of neural network research is the desire to build a new breed of powerful computers to solve a variety

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    Neural Networks and the Latest Trends

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    Neural Networks and the Latest Trends Introduction: Traditionally, the term neural network had been used to refer to a network or circuit of biological neurons. The modern usage of the term often refers to artificial neural network. Though the digital Computer technology is advanced a lot and does many tasks very fast and accurately, does exactly what we tell them to do, they were not able to perform some simple operations like reading, hand written note or recognizing human face or voice which

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