Super-toys last all summer long How is artificial love different from the love one human can have for another? And if a robot truly could love a human, what responsibility would that human have towards the robot? Those are just some of the thought-provoking questions Brian Aldiss raises in his short story “Super-toys last all summer long”. Artificial intelligence of that caliber will not be achieved before many years into the future, but with technology still improving day by day, it is not a future
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Title :Wind speed prediction using Artificial Neural Network (ANN) Abstract : The crisis of fossil based fuel around the world has led to the research of Renewable Energy sources. One of the oldest sources of Renewable energy was using the wind to generate electrical or mechanical power using windmills. To use it efficiently the wind speed which determines the wind power must be known beforehand. Wind speed is a random variable depending on meteorological variables like atmospheric pressure,temperature
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NEURAL NETWORKS by Christos Stergiou and Dimitrios Siganos | Abstract This report is an introduction to Artificial Neural Networks. The various types of neural networks are explained and demonstrated, applications of neural networks like ANNs in medicine are described, and a detailed historical background is provided. The connection between the artificial and the real thing is also investigated and explained. Finally, the mathematical models involved are presented and demonstrated. Contents:
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What is a Physical Symbol System? Here is Simon's own description. A physical symbol system holds a set of entities, called symbols. These are physical patterns (e.g., chalk marks on a blackboard) that can occur as components of symbol structures. In the case of computers, a symbol system also possesses a number of simple processes that operate upon symbol structures - processes that create, modify, copy and destroy symbols. A physical symbol system is a machine that, as it moves through time,
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Paper Summary – Week 6 Sutherland et al. (2005 Circulation) “From Stem Cells to Viable Autologous Semilunar Heart Valve.” Results of heart valve replacement surgery are complicated by the morbidity associated with lifelong anticoagulation of mechanical valves and the limited durability of bioprostheses. This problem may be addressed by providing living, autologous biological structures which do not require anticoagulation, yet retain the capacity to remodel and repair, obviating the need for
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( ANN-based Short-Term Load Forecasting in Bogotá Joaquin E. Mejia and Maria E. Correal. Abstract--This paper proposes four different models for an Artificial Neural Network (ANN) based on short term load forecasting. Historical load data from Bogotá from 2000 to 2007 is used for testing, showing the good performance of the different methods. Index Terms—ANN, Articial network, Short term load forecasting. Introduction During the last years the energetic markets in the world have
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UNIVERSIDAD DE SANTIAGO DE CHILE FACULTAD DE INGENIERÍA DEPARTAMENTO DE INGENIERÍA INFORMÁTICA LABORATORIO Nº1: Un perceptrón simple y la red Adaline Integrantes: Aileen Esparza Juan Carlos Vargas Profesor: Gonzalo Acuña L. Ayudante: Macarena Pérez Fecha: 13 de noviembre del 2013 Tabla de contenido 1. 2. 3. 4. 5. INTRODUCCIÓN Y OBJETIVO DE LA EXPERIENCIA........................................... 3 PROGRAMAS REALIZADOS ..................................................................
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Shelf space assigned to store and national brands: A neural networks analysis Document Information: | Title: | Shelf space assigned to store and national brands: A neural networks analysis | Author(s): | Mónica Gómez Suárez, (Dpto. Financiación e Investigación Comercial, Facultad CC. Empresariales, Universidad Autónoma de Madrid, Madrid, Spain) | Citation: | Mónica Gómez Suárez, (2005) "Shelf space assigned to store and national brands: A neural networks analysis", International Journal
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Heart Valve Replacements: Requirements and Evolution Advanced Structural Aspects of Biomaterials Fall 2013 Sonia Travaglini 1 , Hao Ji 1 , Yangxin Chen 1 , Sofia Cafaggi 2 , Britta Berg-Johansen 2 C215 & 2 BioE C222 Advanced Structural Aspects of Biomaterials University of California, Berkeley 1 ME Table of Contents TABLE OF CONTENTS --------------------------------------------------------------------------------------------------------------- II 1. EXECUTIVE SUMMARY---------------
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often refers to artificial neural networks, which are composed of artificial neurons or nodes. Thus the term has two distinct usages: Biological neural networks are made up of real biological neurons that are connected or functionally related in a nervous system. In the field of neuroscience, they are often identified as groups of neurons that perform a specific physiological function in laboratory analysis. Artificial neural networks are composed of interconnecting artificial neurons (programming
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