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Java: Neural Networks Tutorial

Java: Neural Networks Tutorial

Jeff Heaton | 3131 | ISBN: 133161X | 391 pages | PDF | 66 Mb Description: Introduction to Neural Networks in Java introduces the Java programmer to the world of Neural Networks and Artificial Intelligence. Neural network architectures such as the feedforward backpropagation, Hopfield, and Kohonen networks are discussed. Additional AI topics, such as Genetic Algorithms and Simulated Annealing, are also introduced. Practical examples are given for each …

Implementing Neural Networks in Java

Implementing Neural Networks in Java

Java based Neural Network — how to implement backpropagation. 2. I am building a test neural network and it is definitely not working. I'm trying to implement a feed-forward neural network in Java. I've created three classes NNeuron, NLayer and NNetwork. The "simple" calculations seem fine.

Trading forex currency software trade market

Trading forex currency software trade market

Do not be satisfied with the amount you are making currently on the currency trade, because you can make a bigger sum once you get the best FOREX trading software. This will make your trade decisions more informed and well researched unlike the decisions you make driven by emotions and the love for one currency more than others on the market. The best FOREX trading software allows you to watch the market with a keen eye because it will analyze all …

Neural Networks for Machine Learning

Neural Networks for Machine Learning

That computer is watching me… When left to its own devices, what does one of the largest neural networks for machine learning in the world use its 16, computer processors and one billion connections do? Solve complex environmental problems? Crunch scientific data to illuminate the mysteries of deep space? No and no. Turns out, the huge, powerful neural network taught itself to recognize cats (and humans) in only three days. Researchers from Google …

Neural networks using C

Neural networks using C

Fast Artificial Neural Network Library is a free open source neural network library, which implements multilayer artificial neural networks in C with. A good way to understand them is with a puzzle that neural nets can be used to solve. Now, if N1 sees C or C++, and N2 sees C or Java, then the code in. Provides a set of reusable neural network classes, created in C++, capable of implementing any. Visual C++6 For Dummies by Michael I. Hyman. Discusses: …

Neural networks applications in concrete structures

Neural networks applications in concrete structures

After a long period of absence, I’m back to announce the 0.2.5 version of the neuron-based data structure called NBDS. This project was introduced in december 2010 as a concept. After that, the development of NBDS still continued, so I wrote about my first implementation of NBDS concept in PHP. This post is about the improvements of  NBDS for PHP. I will write about new features, ideas and some things that can be easily solved with NBDS. New features …

Neural Networks in Excel

Neural Networks in Excel

Neural Networks is a technology that has ripened with age. Compounded with developments in Big Data solutions, it is time that businesses and organizations explore how this little understood technology is ready to help achieve their goals. This PDF file of an e-book contains some mising pages, but what’s not missing provides a good glimpse of how Neural Networks applied to real world issues can benefit businesses and organizations. Good study material …

Neural networks for Stock analysis

Neural networks for Stock analysis

The purpose of this research was to compare two statistical methods: one that based on Cycle Analysis, another – on a simple Neural Network. Price and volume data were used to train this particular Neural Network. These statistical forecasts were built using historical data of S&P-500 index for six months (from June 2009 to January 2010). The charts below shows how actual 5-day performance (yellow line) differ from predicted performances by …