Previous Conferences
IES-2014 Conference
The 18th Asia Pacific Symposium On Intelligent And Evolutionary Systems (IES), organized by the International Neural Network Society will take place from 10th November to 12th November 2014 at the Nanyang Executive Centre, Singapore. The conference will cover the topics in intelligent systems and evolutionary computation, including, but not limited to
ELM-2014 Conference
Extreme Learning Machines (ELM) aim to break the barriers between the conventional artificial learning techniques and biological learning mechanism. ELM represents a suite of machine learning techniques in which hidden neurons need not be tuned. ELM learning theories show that hidden neurons (with almost any nonlinear activation functions) can be randomly generated independent of training data and application environments, which has recently been confirmed with concrete biological evidences.
ELM-2013 Conference
Extreme Learning Machines (ELM) provide efficient unified solutions to generalized feedforward networks including but not limited to (both single-hidden-layer and multi-hidden-layer) feedforward neural networks, RBF networks, and kernel learning. ELM possesses unique features to deal with regression and (multi-class) classification tasks. Consequently, ELM offers significant advantages such as fast learning speed, ease of implementation, and minimal human intervention.
ELM-2012 Conference
Extreme Learning Machines (ELM) provide efficient unified solutions to generalized feedforward networks including but not limited to feedforward neural networks and kernel learning. ELM possesses unique features to deal with regression and (multi-class) classification tasks. Consequently, ELM offers significant advantages such as fast learning speed, ease of implementation, and least human intervene. ELM has good potential as a viable alternative technique for large-scale computing and artificial intelligence.