Proceedings ArticleDOI
Hybrid Neural Network
S.W. Al-Sayegh
- pp 763-770
Reads0
Chats0
TLDR
A hybrid neural network is proposed and implemented which is a linear hierarchical network which consists of two subnetworks which is based on Kohonen Self-Organizing Map and Learning Vector Quantization.Abstract:
A hybrid neural network is proposed and implemented. The proposed network is a linear hierarchical network which consists of two subnetworks. The first subnetwork is based on Kohonen Self-Organizing Map. The second subnetwork is based on Learning Vector Quantization. The hybrid neural network is tested and used for Arabic phoneme recognizer.read more
Citations
More filters
Journal ArticleDOI
Research on WNN modeling for gold price forecasting based on improved artificial bee colony algorithm
TL;DR: Experimental results confirm that this new algorithm converges faster than the conventional ABC when tested on some classical benchmark functions and is effective to improve modeling capacity of WNN regarding the gold price forecasting scheme.
Journal ArticleDOI
A critical review of the data pipeline: how wastewater system operation flows from data to intelligence.
TL;DR: This review paper examines the state-of-the-art in the transformation of raw data into actionable insight, specifically for water resource recovery facility (WRRF) operation.
Journal ArticleDOI
Monthly river flow forecasting by an adaptive neuro-fuzzy inference system
Mahmut Firat,M. Erkan Turan +1 more
TL;DR: In this study, the applicability of an adaptive neuro-fuzzy inference system (ANFIS) to forecast for monthly river flows is investigated and demonstrates that ANFIS can be applied successfully and provides high accuracy and reliability for Monthly river flow forecasting.
Proceedings ArticleDOI
Conversion of Synchronous Artificial Neural Network to Asynchronous Spiking Neural Network using sigma-delta quantization
Amirreza Yousefzadeh,Sahar Hosseini,Priscila Holanda,Sam Leroux,Thilo Werner,Teresa Serrano-Gotarredona,Bernabé Linares Barranco,Bart Dhoedt,Pieter Simoens +8 more
TL;DR: This work uses the well-known sigma-delta quantization method and introduces an easy and straightforward solution to convert an Artificial Neural Network to a Spiking Neural Network which can be implemented asynchronously in a neuromorphic platform.
Posted ContentDOI
River Flow Forecasting: a Hybrid Model of Self Organizing Maps and Least Square Support Vector Machine
TL;DR: A new hybrid model based on a combination of two familiar non-linear method of mathematical modeling: Self Organizing Map and Least Square Support Vector Machine referred as SOM-LSSVM model, which outperforms other models for forecasting river flow.
References
More filters
Book
Fundamentals of speech recognition
TL;DR: This book presents a meta-modelling framework for speech recognition that automates the very labor-intensive and therefore time-heavy and therefore expensive and expensive process of manually modeling speech.