Implementación de Redes Neuro-Difusas Para Per Aplicadas en Problemas de Clasificación Y Modelización

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Se analiza el uso de redes neuro-difusas para solucionar problemas de clasificación y modelización. El objetivo es intentar combinar las cualidades de las redes neuronales y de la descripción de sistemas mediante Lógica Difusa. Las redes neuronales son conocidas por su alta capacidad de aprendizaje, lo que permite una adecuada generalización en el tipo de problemas comentado anteriormente. Su aplicación a problemas reales no ha dejado de crecer durante los últimos años. Por otro lado, la Lógica Difusa es una herramienta más novedosa, cuya propiedad más atractiva es la capacidad que posee de poder tratar con variables numéricas y variables lingüísticas simultáneamente. Las variables lingüísticas permiten un tratamiento del problema más comprensible y cercano al conocimiento intuitivo humano. Una de las principales ventajas de la combinación de estas disciplinas es la posibilidad de interpretar los resultados obtenidos por una red neuronal, pudiendo extraer conocimiento de ella. Clásicamente, las redes neuronales han sido conocidas como sistemas que podían proporcionar excelentes resultados pero que tenían el principal inconveniente de ser cajas negras, de donde era imposible obtener unas reglas de comportamiento debido a la complejidad de sus conexiones internas. De esta manera, la Lógica Difusa abre una puerta a esta posibilidad. (Complete work in Spanish) The use of Neuro-Fuzzy Networks is analysed for solving classification and modelisation problems. The objective is to combine the properties of Neural Networks with the systems' description by using Fuzzy Logic. The ability of learning of Neural Networks implies a good generalisation features. Their application to real problems has grown during the last years. On the other hand, Fuzzy Logic is a recent tool, whose most attractive property is the ability for working with numeric and linguistic variables simultanously. Linguistic variables allow the user to treat problems in a more understandable way since they are near to human knowledge. One of the main advantages of the proposed combination is the possibility of interpreting the results obtained by Neural Networks since we can extract information of Neural Networks by using Fuzzy Logic. This information will be estructured in fuzzy rules of the type "If-Then". Typically, Neural Networks have been known as systems capable to get excellent results but with the main drawback of their black-box behaviour. Thus, it was impossible to extract rules of their behaviour or learning because of the complex internal connections. Fuzzy Logic offers a feasible exit for this problem.
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Oct 1, 2000
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Psychology / Neuropsychology
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Rolf Dobelli
Have you ever . . . Invested time in something that, in hindsight, just wasn't worth it? Paid too much in an eBay auction? Continued to do something you knew was bad for you? Sold stocks too late, or too early? Taken credit for success, but blamed failure on external circumstances? Backed the wrong horse?

These are examples of what the author calls cognitive biases, simple errors all of us make in day-to-day thinking. But by knowing what they are and how to identify them, we can avoid them and make better choices: whether in dealing with personal problems or business negotiations, trying to save money or earn profits, or merely working out what we really want in life—and strategizing the best way to get it.

Already an international bestseller, The Art of Thinking Clearly distills cutting-edge research from behavioral economics, psychology, and neuroscience into a clever, practical guide for anyone who's ever wanted to be wiser and make better decisions. A novelist, thinker, and entrepreneur, Rolf Dobelli deftly shows that in order to lead happier, more prosperous lives, we don't need extra cunning, new ideas, shiny gadgets, or more frantic hyperactivity—all we need is less irrationality.

Simple, clear, and always surprising, this indispensable book will change the way you think and transform your decision making—at work, at home, every day. From why you shouldn't accept a free drink to why you should walk out of a movie you don't like, from why it's so hard to predict the future to why you shouldn't watch the news, The Art of Thinking Clearly helps solve the puzzle of human reasoning.

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