Metadata-Version: 1.0
Name: neurolab
Version: 0.1.0
Summary: Simple and powerfull neural network library for python
Home-page: http://neurolab.googlecode.com
Author: Zuev Evgenij
Author-email: zueves@gmail.com
License: LGPL-3
Description: 
        Neurolab is a simple and powerful Neural Network Library for Python.
        Contains based neural networks, train algorithms and flexible framework to create and explore other networks.
        
        
        :Features:
        
            - Pure python + numpy
            - API like Neural Network Toolbox (NNT) from MATLAB
            - Interface to use train algorithms form scipy.optimize
            - Flexible network configurations and learning algorithms. You may change: train, error, initializetion and activation functions
            - Variety of supported types of Artificial Neural Network and learning algorithms
        
        :Example:
        
        	>>> import numpy as np
        	>>> import neurolab as nl
        	>>> # Create train samples
        	>>> input = np.random.uniform(-0.5, 0.5, (10, 2))
        	>>> target = (input[:, 0] + input[:, 1]).reshape(10, 1)
        	>>> # Create network with 2 inputs, 5 neurons in input layer and 1 in output layer
        	>>> net = nl.net.newff([[-0.5, 0.5], [-0.5, 0.5]], [5, 1])
        	>>> # Train process
        	>>> err = net.train(input, target, show=15)
        	Epoch: 15; Error: 0.150308402918;
        	Epoch: 30; Error: 0.072265865089;
        	Epoch: 45; Error: 0.016931355131;
        	The goal of learning is reached
        	>>> # Test
        	>>> net.sim([[0.2, 0.1]]) # 0.2 + 0.1
        	array([[ 0.28757596]])
        
        
        :Now support neural networks types:
        
        	**Single layer perceptron**
        		- create function: `neurolab.net.newp() <http://packages.python.org/neurolab/lib.html#neurolab.net.newp>`_
        		- example of use: `newp <http://packages.python.org/neurolab/ex_newp.html>`_
        		- default train function: `neurolab.train.train_delta() <http://packages.python.org/neurolab/lib.html#neurolab.train.train_delta>`_
        		- support train functions: train_gd, train_gda, train_gdm, train_gdx, train_rprop, train_bfgs, train_cg
        	
        	**Multilayer feed forward perceptron**
        		- create function: `neurolab.net.newff() <http://packages.python.org/neurolab/lib.html#neurolab.net.newff>`_
        		- example of use: `newff <http://packages.python.org/neurolab/ex_newff.html>`_
        		- default train function: `neurolab.train.train_gdx() <http://packages.python.org/neurolab/lib.html#neurolab.train.train_gdx>`_
        		- support train functions: train_gd, train_gda, train_gdm, train_rprop, train_bfgs, train_cg
        		
        	**Competing layer (Kohonen Layer)**
        		- create function: `neurolab.net.newc() <http://packages.python.org/neurolab/lib.html#neurolab.net.newc>`_
        		- example of use: `newc <http://packages.python.org/neurolab/ex_newc.html>`_
        		- default train function: `neurolab.train.train_cwta() <http://packages.python.org/neurolab/lib.html#neurolab.train.train_cwta>`_
        		- support train functions: train_wta
        		
        	**Learning Vector Quantization (LVQ)**
        		- create function: `neurolab.net.newlvq() <http://packages.python.org/neurolab/lib.html#neurolab.net.newlvq>`_
        		- example of use: `newlvq <http://packages.python.org/neurolab/ex_newlvq.html>`_
        		- default train function: `neurolab.train.train_lvq() <http://packages.python.org/neurolab/lib.html#neurolab.train.train_lvq>`_
        
        
Keywords: neural network,neural networks,neural nets,backpropagation,python,matlab,numpy,machine learning
Platform: Any
Classifier: Development Status :: 5 - Production/Stable
Classifier: Environment :: Console
Classifier: License :: OSI Approved :: GNU Library or Lesser General Public License (LGPL)
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
