Search Results for "fuzzy logic arduino"
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Showing 9 open source projects for "fuzzy logic arduino"
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jFuzzyLogic is a java implementation of a Fuzzy Logic software package. It implements a complete Fuzzy inference system (FIS) as well as Fuzzy Control Logic compliance (FCL) according to IEC 61131-7 (formerly 1131-7).
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BayesianCortex
simple algorithm for a realtime interactive visual cortex for painting
A paint program where the canvas is the visual cortex of a simple kind of artificial intelligence. You paint with the mouse into its dreams and it responds by changing what you painted gradually. There will also be an API for using it with other programs as a general high-dimensional space. Each pixel's brightness is its own dimension. Bayesian nodes have exactly 3 childs because that is all thats needed to do NAND in a fuzzy way as Bayes' Rule which is NAND at certain extremes. NAND can be... -
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Fuzzy logic add-in for OpenOffice.org Calc. InrecoLAN FuzzyMath allows to perform ordinary arithmetic operations and use ordinary mathematical and financial functions with fuzzy numbers. Have any ideas how to improve this project - you are welcome!
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CILib is a framework for developing Computational Intelligence software in swarm intelligence, evolutionary computing, neural networks, artificial immune systems, fuzzy logic and robotics.
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Inexact is a library developed in Java 5.0 to implements three methods of information fuzzy retrieval: Fuzzy query, Query by example and the two previous methods together. This project uses the fuzzy logic paradigm (Artificial Intelligence).
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This is a prolog-like programming language based on the fuzzy logic. It includes the class-libraries for fuzzy logic, probability theory and method of resolution, all made in C++. Java releases possible in the future.
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mbFuzzIT enables the work with Fuzzy technology (fuzzy inference / fuzzy logic) in Java. In order to facilitate the creation of the inference mechanisms, mbFuzzIT containts a visual editor.
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Project FuzzyGKS is a Java-based fuzzy logic control system. It provides an extensible, multithreaded framework for fuzzy controllers. FuzzyGKS can be extended from Type I fuzzy reasoning to Type II fuzzy reasoning.
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