3 projects for "fuzzy logic python" with 1 filter applied:

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  • 1
    Fuzzy sets for Ada

    Fuzzy sets for Ada

    Fuzzy sets, logic, numbers; intuitionistic fuzzy sets, fuzzy linguis

    Fuzzy sets for Ada is a library providing implementations of confidence factors with the operations not, and, or, xor, +, and *, classical fuzzy sets with the set-theoretic operations and the operations of the possibility theory, intuitionistic fuzzy sets with the operations on them, fuzzy logic based on the intuitionistic fuzzy sets and the possibility theory; fuzzy numbers, both integer and floating-point with conventional arithmetical operations, and linguistic variables and sets of linguistic variables with operations on them. ...
    Downloads: 1 This Week
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  • 2
    Classic HWUT - rename of previous HWUT

    Classic HWUT - rename of previous HWUT

    Software Unit Tests (Language Independent Approach)

    Automation of Unit and System Tests. Tests can be implemented in any language and on many platforms. The flexible approach enables the inclusion of many types of tests, such as memory leak checks (using valgrind), coding rule checks, complexity checks, etc. Tests are run by a simple call to hwut in a base directory of a project. In particular for C, HWUT supports make file generation using 'sos' and 'sols' modes. Remote control-able function stubs may be generated using the 'stub' mode....
    Downloads: 2 This Week
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  • 3

    nevesim

    NEVESIM is an event-driven neural simulation tool.

    NEVESIM is a software package for event-driven simulation of networks of spiking neurons with a fast simulation core in C++, and a scripting user interface in the Python programming language. It supports simulation of heterogeneous networks with different types of neurons and synapses, and can be easily extended by the user with new neuron and synapse types. To enable heterogeneous networks and extensibility, NEVESIM is designed to decouple the simulation logic of communicating events (spikes) between the neurons at a network level from the implementation of the internal dynamics of individual neurons.
    Downloads: 0 This Week
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