Research Article
Artificial Neural Network Modeling of Extract from Lotus Seed Liquor Lees of Furfural Content

Libin Xu, Yan Liu, Xia Zhu, Yong Shi and Dongsheng Li

Information Technology Journal, 2014, 13(7), 1443-1446.

Abstract

In the present study, a multi-layer perception neural network and Radial Basis Function (RBF) network were used to model of extract form lotus seed liquor lees of furfural content. Artificial neural network were used to model extract furfural from lotus seed liquor lees and comparison with the results obtained from a regression analysis. Owing to the furfural in lotus seed liquor was easy to mix with organic matter in any proportion. The appropriate extraction conditions guaranteed the maximum extract from lotus seed liquor lees. This study provided a theoretical basis for the production of liquor.

ASCI-ID: 28-2209

Cited References Fulltext

Similar Articles


A Binary ART Neural Network Methodolgy for Computer-Aided Process Palnning of Milling Parameters

Information Technology Journal, 2002, 1(3), 294-298.

Power Efficient Multilayer Neural Network for Image Compression

Information Technology Journal, 2007, 6(8), 1252-1257.

The Application of Recurrent Artificial Neural Network in Chiller Energy Analysis Simulation

Information Technology Journal, 2013, 12(4), 720-727.

Analysis of Bilateral Intelligence (ABI) for Textual Pattern Learning

Information Technology Journal, 2013, 12(4), 867-870.

Genetic Algorithm: Artificial Neural Network Modeling of Process for Flocculation of Lotus Leaf Beverage

Information Technology Journal, 2014, 13(7), 1471-1473.

A New Method for Cardiovascular Disease Clinical Diagnosis Based on Artificial Neural Network Model

Information Technology Journal, 2013, 12(21), 6277-6280.

Application of Neural Network Filter to Estimate the Velocity of Targets in Strong Clutter

Information Technology Journal, 2013, 12(24), 7983-7988.

Diagnostic Prediction of Vertebral Column Using Rough Set Theory and Neural Network Technique

Information Technology Journal, 2014, 13(5), 874-884.

Identification of 12+18+206+1 Characters of Dravidian Semmozhi-image Processing Trip to South India

Information Technology Journal, 2014, 13(12), 1961-1968.

Elliptic Curve Diffie-Hellman Random Keys Using Artificial Neural Network and Genetic Algorithm for Secure Data over Private Cloud

Information Technology Journal, 2016, 15(3), 77-83.