interference

Current Source will be ported on .NET Plaform in near future.

Cross-platform C++ library - universal neurobiology-based machine learning framework.

Version 1.1.0

PLATFORMS

Windows (MinGW) (x86)
Linux (x86, ARM)

REQUIREMENTS

CMake 3.12 or newer
g++ 7.4.0 or newer (MinGW under Windows)
LodePNG library (for building inn_vision example only)

LICENCE

Interference library is distributed under the MIT Licence.

inn_vision example uses the part of COIL-100 dataset.

"Columbia Object Image Library (COIL-100)," S. A. Nene, S. K. Nayar and H. Murase, Technical Report CUCS-006-96, February 1996. http://www1.cs.columbia.edu/CAVE/software/softlib/coil-100.php

HOW TO BUILD

Building library for Windows (MinGW)

Run CMD and follow this steps:

Prepare build directory (%INTERFERENCE_ROOT% is root directory of Interference library files, %BUILD_TYPE% is "debug" or "release")

> cd %INTERFERENCE_ROOT%
> mkdir cmake-build-%BUILD_TYPE%
> cd cmake-build-%BUILD_TYPE%

Configure build files

> cmake -DCMAKE_BUILD_TYPE=%BUILD_TYPE% -DCMAKE_MAKE_PROGRAM=make.exe -G "MinGW Makefiles" ..

Build the library

> make

Install the library in comfortable location

> make DESTDIR=.. install

Building library for Linux

Run terminal and follow this steps:

Prepare build directory (%INTERFERENCE_ROOT% is root directory of Interference library files, %BUILD_TYPE% is "debug" or "release")

> cd %INTERFERENCE_ROOT%
> mkdir cmake-build-%BUILD_TYPE%
> cd cmake-build-%BUILD_TYPE%

Configure build files

> cmake -DCMAKE_BUILD_TYPE=%BUILD_TYPE% ..

Build the library

> make

Install the library in a global location

> sudo make install

Building an example

To compile an example you need to run this commands:

> cd %INTERFERENCE_ROOT%/samples/%SAMPLE_NAME%
> mkdir cmake-build-%BUILD_TYPE%
> cd cmake-build-%BUILD_TYPE%

Repeat steps 2 and 3 from library building instruction and run make DESTDIR=.. install (for both platforms). Now you can run example using this commands:

> cd ../bin/
> ./%SAMPLE_NAME%_sample

RELEASE NOTES

1.1.0

Interference library performance increased about 15 times
Added multithreading support for multicore CPUs
Added experimental support of ARM architecture
Added ultimate example of image recognition system
Exceptions raised by inn::Error class are more informative now
Added doCheckSignal(), doResetSignalController(), getSignal() and getTime() methods for inn::NeuralNet::Link class
Fixed doAddNeuron(...) method in inn::NeuralNet class (now allowed feedback links)
Added doComparePatterns() and getNeuronCount() methods for inn::NeuralNet class
Added new modes of neuron link definition: LinkDefinitionRange and LinkDefinitionRangeNext
Now getEntries() and getReceptors() methods in inn::Neuron are named as getEntry(...) and getReceptor(...)
Added doPrepare(), setk1(...) and setk2(...) methods for inn::Neuron, inn::Neuron::Entry and inn::Neuron::Synaps classes
Added setNeurotransmitterType(...) method for inn::Neuron::Entry and inn::Neuron::Synaps classes
Added getQSize() method for inn::Neuron::Synaps class
Added setk3(...) and getdFi() methods for inn::Neuron::Receptor class
Added getReceptorInfluenceValue(...) and getSynapticSensitivityValue(...) static methods for inn::Neuron::System class
Added new arithmetic operations methods for inn::Position class
Added doZeroPosition() and getDistanceFrom(...) methods for inn::Position class

Release notes for all releases can be found in RELEASES.md file.

Tanamichi/interference