Search Results for "java implementation of perceptron" - Page 4
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Showing 108 open source projects for "java implementation of perceptron"
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fuzzyweka provides an implementation of a classifier for fuzzy classification based on fuzzy if-then rules for WEKA.This classifier renowned the Simple Fuzzy Grid method proposed by the work of Ishibuchi and Al.
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JKalman is an Open Source Java implementation of Kalman filter. Kalman filter is an efficient computational (recursive) tool to estimate the dynamic state of a process in a way that minimizes the mean of error.
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JNSGA2 is a Java library with an implementation of the multi-objective genetic algorithm NSGA-II published by Deb et al.
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vbWeka is a class library of a collection of machine learning algorithms in VB.NET. It is designed in the same style of the popular Java machine learning package - weka. In this release, B40, ID3 decision trees, IB1, Perceptron, Backpropagation, NaiveBay
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HDP-IS is the engine of a intellectual services rendering system. The purpose of the project is analysis and implementation of new control models and tools of information interaction during process of rendering of intellectual services.
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RL Poker is a study project Java implementation of an e-soft on-policy Monte Carlo Texas Hold'em poker reinforcement learning algoritm with a feedforward neural network and backpropagation. It provides a graphical interface to monitor game rounds.
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This is an implementation of the Granular Neural Network architecture defined by S. Dick, A. Tappenden, C. Badke, O. Olarewaju. It is provided for the use of the public, and the convenience of researchers who may wish to develop or use this new system.
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The Simple Interface for Global Optimization Algorithms allows the specification of arbitrary search/optimization problems, solving of these problems, and the specification and implementation of optimization algorithms like evolutionary algorithms.
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Random Forest classification implementation in Java based on Breiman's algorithm (2001). It assumes the data is in the form [ X_1, X_2, . . ., X_M, Y ] where Y \in {0, 1, . . ., C}. The user must define M, C, and m initially.
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Wodka is the implementation of a genetic algorithm (GA) that can bread two dimensional structures that might be used as robots in sodarace competitions.
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Java implementation of Sudoku. Visually attractive, interactive version with intelligent and brute force solving strategies.
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DrPangloss is a python implementation of a three operator genetic algorithm, complete with a java swing GUI for running the GA and visualising performance, generation by generation
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KNN-WEKA provides a implementation of the K-nearest neighbour algorithm for Weka. Weka is a collection of machine learning algorithms for data mining tasks. For more information on Weka, see http://www.cs.waikato.ac.nz/ml/weka/.
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An implementation of the Compositional Pattern Producing Networks (CPPNs) and Neuro-Evolution of Augmenting Topologies (NEAT) proposed by Kenneth O. Stanley, based on the Genetic Art tool from Mattias Fagerlund.
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A Java implementation of the NEAT algorithm as created by Kenneth O Stanley. Also provides a toolkit for further experiments to be created and can provide both local and distributed learning environments.
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JavaSOM package is an implementation of self-organizing maps (SOM), based on neural networks, to Java2 programming language and utilization of XML based application languages for information exchange and visualization.
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ANJI (Another NEAT Java Implementation) Built on top of existing OpenSource projects, ANJI is an implementation of NEAT (Neuro-Evolution of Augmenting Topologies), an algorithm for evolving artificial neural networks.
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Message Transport Protocol (MTP) implementation using XMPP for the Java Agent DEvelopment framework (JADE). Produced under the Google Summer of Code program with the help of Quantum Leap Interactive and Jabber, Inc.
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CLearJ is a clean Java-implementation of Common Lisp. The big goals are ANSI standard compliance, interoperability with Java and integration with scripting environments. This project is meant to be a sibling to CLearSharp, with sharing of implementation.
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An ANN design/implementation focused to work with optimally with NEAT (http://www.cs.utexas.edu/users/kstanley/neat.html). Semiann uses a sparse matrix to fill out the nodes, connections, weights, biases and activation functions for an ANN.
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CLearSharp is a clean C#-implementation of Common Lisp. The big goals are ANSI standard compliance, interoperability with Java and integration with scripting environments. This project is meant to be a sibling to CLearJ, with sharing of implementation.
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JPlan is a java implementation of GraphPlan, a fast domain independent planner. JPlan allows developers and researchers to use and experiment with this planner, build variants of GraphPlan, and add a planning capability to their new projects.
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