Single-layered complex-valued neural network for real-valued classification problems
نویسندگان
چکیده
منابع مشابه
Single-layered complex-valued neural network for real-valued classification problems
This paper presents two models of complex-valued neurons (CVNs) for real-valued classification problems, incorporating two newly-proposed activation functions, and presents their abilities as well as differences between them on benchmark problems. In both models, each real-valued input is encoded into a phase between 0 and of a complex number of unity magnitude, and multiplied by a complex-va...
متن کاملA Metacognitive Fully Complex Valued Functional Link Network for solving real valued classification problems
In this paper, a sequential learning based meta-cognitive fully complex valued functional link network (Mc-FCFLN) is developed for solving complex real world problems. Mc-FCFLN network consists of two components: a cognitive component and a meta-cognitive one. A fully complex-valued functional link network (FCFLN) is a cognitive component and the self-regulatory learning method is its meta-cogn...
متن کاملEnsemble of single-layered complex-valued neural networks for classification tasks
This paper presents ensemble approaches in single-layered complex-valued neural network (CVNN) to solve real-valued classification problems. Each component CVNN of an ensemble uses a recently proposed activation function for its complex-valued neurons (CVNs). A gradient-descent based learning algorithm was used to train the component CVNNs. We applied two ensemble methods, negative correlation ...
متن کاملA fully complex-valued radial basis function classifier for real-valued classification problems
In this paper, we investigate the decision making ability of a fully complex-valued radial basis function (FC-RBF) network in solving real-valued classification problems. The FC-RBF classifier is a single hidden layer fully complex-valued neural network with a nonlinear input layer, a nonlinear hidden layer, and a linear output layer. The neurons in the input layer of the classifier employ the ...
متن کاملFast learning Circular Complex-valued Extreme Learning Machine (CC-ELM) for real-valued classification problems
Article history: Received 9 November 2010 Received in revised form 14 September 2011 Accepted 6 November 2011 Available online 13 November 2011
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Neurocomputing
سال: 2009
ISSN: 0925-2312
DOI: 10.1016/j.neucom.2008.04.006