Artificial Neural Networks

1. Introduction To The Analysis Of The Intracellular Sorting Information In Protein Sequences: From Molecular Biology To Artificial Neural Networks

R. Claudio Aguilar

2. Protein Structural Information Derived from NMR Chemical Shift with the Neural Network Program TALOS-N

Yang Shen and Ad Bax

3. Predicting Bacterial Community Assemblages using an Artificial Neural Network Approach

Peter Larsen, Yang Dai and Frank R. Collart

4. A General ANN-Based Multi-Tasking Model For The Discovery Of Potent and Safer Antibacterial Agents

A. Speck-Planche and M. N. D. S. Cordeiro

5. Use of Artificial Neural Networks in the QSAR Prediction of Physico-chemical Properties and Toxicities for REACH Legislation

John C. Dearden and Philip H. Rowe

6. Artificial Neural Network for Charge Prediction in Metabolite Identification by Mass Spectrometry

J. H. Miller, B. T. Schrom, and L. J. Kangas

7. Prediction of Bioactive Peptides using Artificial Neural Networks

David Andreu and Marc Torrent

8. AutoWeka: Towards an Automated Data Mining Software for QSAR and QSPR Studies

Chanin Nantasenamat, Apilak Worachartcheewan, Saksiri Jamsak, Likit Preeyanon, Watshara Shoombuatong, Saw Simeon, Prasit Mandi, Chartchalerm Isarankura-Na-Ayudhya and  Virapong Prachayasittikul

9. Ligand Biological Activity Predictions Using Fingerprint-based Artificial Neural Networks (FANN-QSAR)

Kyaw Z. Myint and Xiang-Qun Xie

10.  GENN: A General Neural Network for Learning Tabulated Data with Examples from Protein Structure Prediction

Eshel Faraggi and Andrzej Kloczkowski

11. Modulation of Grasping Force in Prosthetic Hands Using Neural Network-based Predictive Control

Cristian F. Pasluosta and Alan W.L. Chiu

12. Application of Artificial Neural Networks in Computer-aided Diagnosis

Bei Liu

13. Developing A Multimodal Biometric Authentication System Using Soft Computing Methods

Mario Malcangi

14. Using Neural Networks To Understand The