A community portal about Neural networks with blogs, videos, and photos. According to Wikipedia.org: A neural network is a computing paradigm that is loosely modeled after cortical structures of the brain. It consists of interconnected...
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A community portal about Neural networks with blogs, videos, and photos. According to Wikipedia.org: A neural network is a computing paradigm that is loosely modeled after cortical structures of the brain. It consists of interconnected processing elements called neurons that work together to produce an output function. The output of a neural network relies on the cooperation of the individual neurons within the network to operate. Processing of information by neural networks is often done in parallel rather than in series. Since it relies on its member neurons collectively to perform its function, a unique property of a neural network is that it can still perform its overall function even if some of the neurons are not functioning. That is, they are very robust to error or failure.
My main interest at the moment is neural networks but what are neural networks. Well here is my understanding of the basics. What is a neural network? A Neural Network is a simulation of the structure of the brain as we currently understand it. It is a series of interconnected Neurons that allow an output pattern to be produced from an input pattern. There main advantage is that they can learn and generalise through the use of supervised training. They are often used for image... Read Full Story
S&P500 forecast for June 8-12, 2009
Charts represent S&P500 forecast for June 8-12, 2009. The calculations* have been performed using neural network tool and pattern similarity prediction (price and volume).
*) used tools - Investment Analyzer InvAn-4 and Neural Network Stock Trend Predictor NNSTP-2 .
Nothing in this piece or on this web site should be construed as investment advice in any way. Always do your own research or/and consult a qualified investment advisor. It is wise... Read Full Story
FACT: When a thought (e.g. "Neuroscience is boring") happens, neurons fire. POSSIBLE INTERPERTATIONS of this FACT: 1) Mystical/Dualist: The thought caused the neurons to fire. 2) Quasi-Reductionist: The neurons firing caused the thought. (Quasi-Reductionist is my own term meant to convey that this option is not necessarily the most consistent "reductionist" view to hold due to this option's apparent retention of a certain dualism, which is made clear below.) 3) Ephiphenomenolist: The thought... Read Full Story
Charts represent S&P-500 forecast for October 26-30, 2009. The calculations have been performed using pattern similarity prediction - Investment Analyzer InvAn-4 and neural network tool - Neural Network Stock Trend Predictor NNSTP-2 . The tools have predicted uptrend above 1,100. Read Full Story
S&P-500 Forecast for October 19-23, 2009
Charts represent S&P-500 forecast for October 19-23, 2009. The calculations have been performed using pattern similarity prediction - Investment Analyzer InvAn-4 and neural network tool - Neural Network Stock Trend Predictor NNSTP-2 . The tools have predicted fluctuation within 1%. Read Full Story
Charts represent S&P-500 forecast for June 15-19, 2009. The calculations* have been performed using pattern similarity prediction (price and volume) and neural network tool.
*) used tools - Investment Analyzer InvAn-4 and Neural Network Stock Trend Predictor NNSTP-2 .
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Charts represent S&P-500 forecast for September 28 - October 2, 2009. The calculations* have been performed using pattern similarity prediction and neural network tools. The tools have predicted fluctuation within 1%.
*) used tools - Investment Analyzer InvAn-4 and Neural Network Stock Trend Predictor NNSTP-2 .
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Book Details Editor:Michael A. Arbib Hardcover: 1344 pages Publisher: The MIT Press; 2 edition Dated:November 15, 2002 Language: English ISBN-10: 0262011972 ISBN-13: 978-0262011976 Book Description Dramatically updating and extending the first edition, published in 1995, the second edition of The Handbook of Brain Theory and Neural Networks presents the enormous progress made in recent years in the many subfields related to the two great questions: How does the brain work? and, How can we... Read Full Story
Charts represent S&P-500 forecast for September 14-18, 2009. The calculations* have been performed using pattern similarity prediction and neural network tools. The tools have predicted U-shape move with total change within +1%.
*) used tools - Investment Analyzer InvAn-4 and Neural Network Stock Trend Predictor NNSTP-2 .
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Charts represent S&P-500 forecast for September 7 - 11, 2009. The calculations* have been performed using pattern similarity prediction (price and volume) and neural network tools. The tools predict somewhere between downtrend and sideways.
*) used tools - Investment Analyzer InvAn-4 and Neural Network Stock Trend Predictor NNSTP-2 .
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