@inproceedings{f26a1b62a05f48dba55d0ce835f14758,
title = "Credit assignment among neurons in co-evolving populations",
abstract = "Different credit assignment strategies are investigated in a two level co-evolutionary model which involves a population of Gaussian neurons and a population of radial basis function networks consisting of neurons from the neuron population. Each individual in neuron population can contribute to one or more networks in network population, so there is a two-fold difficulty in evaluating the effectiveness (or fitness) of a neuron. Firstly, since each neuron only represents a partial solution to the problem, it needs to be assigned some credit for the complete problem solving activity. Secondly, these credits need to be accumulated from different networks the neuron participates in. This model, along with various credit assignment strategies, is tested on a classification (Heart disease diagnosis problem from UCI machine learning repository) and a regression problem (Mackey-Glass time series prediction problem). {\textcopyright} Springer-Verlag 2004.",
keywords = "Neuron Population, Radial Basis Function Network, Assignment Strategy, Cooperative Coevolution, Credit Assignment",
author = "KHARE, {Vineet R.} and Xin YAO and Bernhard SENDHOFF",
year = "2004",
doi = "10.1007/978-3-540-30217-9_89",
language = "English",
isbn = "9783540230922",
series = "Lecture Notes in Computer Science",
publisher = "Springer Berlin Heidelberg",
pages = "882--891",
editor = "Xin YAO and BURKE, {Edmund K.} and LOZANO, {Jos{\'e} A.} and Jim SMITH and MERELO-GUERV{\'O}S, {Juan Juli{\'a}n} and BULLINARIA, {John A.} and ROWE, {Jonathan E.} and Peter TI{\v N}O and Ata KAB{\'A}N and Hans-Paul SCHWEFEL",
booktitle = "Parallel Problem Solving from Nature : PPSN VIII : 8th International Conference, Birmingham, UK, September 18-22, 2004, Proceedings",
note = "8th International Conference on Parallel Problem Solving from Nature, PPSN 2004 ; Conference date: 18-09-2004 Through 22-09-2004",
}