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Recurrent type ANFIS using local search technique for time series prediction
TLDR
An improved adaptive neuro-fuzzy inference system (ANFIS) for the application of time series prediction. Expand
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A Multi-Layered Immune System for Graph Planarization Problem
TLDR
This paper presents a new multi-layered artificial immune system architecture using the ideas generated from the biological immune system for solving combinatorial optimization problems. Expand
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Avoiding the Local Minima Problem in Backpropagation Algorithm with Modified Error Function
TLDR
We propose a modified error function with two terms to solve the local minima problem caused by update disharmony between weights connected to the hidden layer and the output layer. Expand
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Affinity Based Lateral Interaction Artificial Immune System
TLDR
We propose an improved lateral interaction artificial immune system model that has stronger noise tolerance ability and is more effective at recognizing noisy patterns than that of our previous models. Expand
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The electric wheelchair control system using surface-electromygram of facial muscles
The goal of Human-Computer Interface (or called Human-Robot interface) research is to provide humans with a new communication channel that allows translating Human's will states via a computer intoExpand
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Mouse cursor control system using electrooculogram signals
TLDR
In this paper, we introduce the mouse cursor control system for Amyotrophic Lateral Sclerosis patients using electrooculogram signals. Expand
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3D flash lag illusion
Objective of this research is to study the presence of 3D flash lag illusion created by a moving object that has a motion-in-depth and a flash object. An object consisting of two thin sticks wasExpand
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A Study of the Electric Wheelchair Hands-Free Safety Control System Using the Surface-Electromygram of Facial Muscles
TLDR
The goal of Human-Computer Interface (or called Human-Robot interface) research is to provide humans with a new communication channel that allows translating people's intention states via a computer into performing specific actions. Expand
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An Algorithm of Supervised Learning for Multilayer Neural Networks
TLDR
A method of supervised learning for multilayer artificial neural networks to escape local minima by modifying gain parameters in a gradient ascent direction of the error measure. Expand
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