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Neural Networks and games

Neural Networks and games

Source Abstract Artificial Intelligence has been developing for many years but until recently game developers have largely ignored it. As computer-processing speed has increased, games have started to include advanced levels of artificial intelligence. A general description of Artificial intelligence is given to introduce the reader to the topic and to the focus of the paper. Search algorithms are described in general with a more detailed description …

Open Neural Networks Library

Open Neural Networks Library

The Fast Artificial Neural Network Library (FANN) is now ready with version 2.0.0. The new release includes automatic building and training of ANN s using the Cascade2 algorithm. The release also includes many new activation functions and a more flexible use of activation functions. A new fileformat is introduced which makes saving and loading of ANNs easier. This release should make it easier to use the FANN library and easier to get good results …

Artificial Intelligence Neural Networks Projects

Artificial Intelligence Neural Networks Projects

In his State of the Union address last week, President Obama made several mentions of a commitment to science that caught our attention . Now it seems some details about those plans are surfacing. One area of study he mentioned in his speech was that scientists are working to map the human brain, and it’s now being reported that the President wants to launch a decade-long program to create the most detailed map of the active human brain to date …

Neural Networks neuron model

Neural Networks neuron model

In a neural network model simple nodes (which can be called by a number of names, including "neurons", "neurodes", "Processing Elements" (PE) and "units").

Neural Networks DEA

Neural Networks DEA

With the urbanization process in China is deepening, a series of problems such as declining subsistence quality which generated by environmental quality problems and urban space contradictions have been more and more attention-getting.In contrast with the Western developed countries that getting out of the post-war recovery period during 60s to 70s and entering into rapid development stage, they also had encountered a similar situation as a result …

Decision based Neural Networks

Decision based Neural Networks

Open innovation has received a considerable focus nowadays. The increasing volume of research on Open innovation (OI) indicates the interest about open innovation. But, still the cost of OI is unrevealed. Researchers are still working on the specification of OI. It seems that the determination of cost of OI is hardly possible in absolute figure. It seems plausible that proactive approach will be matched well with the concept of OI. Hence, OI has been …

XOR Using Neural Networks

XOR Using Neural Networks

Exclusive disjunction, also called exclusive or (symbolized by the prefix operator J, or by the infix operators XOR, EOR, EXOR, ⊻ or ⊕, is a logical operation on two logical values, typically the values of two propositions, that produces a value of true only in cases where the truth value of the operands differ. The above explanation is taken from wikipedia. It describes an XOR operation as only returning a true value when there is a difference between …

Artificial Neural Networks Approach

Artificial Neural Networks Approach

Maastricht University / Department of Quantitative Economics Master Thesis A Back Propagation Artificial Neural Networks Approach to Automatic Customer Record Classification. Author: Camilo Gaviria Introduction : In this thesis I address the problem of finding the correct customer to account (AMID) assignment based on several variables called customer attributes. These customer at- tributes contain information that provide a partial description of …