224 search results - page 27 / 45 » Artificial Neural Networks to Predict Daylily Hybrids |
IJCNN
2000
IEEE
14 years 1 months ago
2000
IEEE
: This paper describes a rather novel method for the supervised training of regression systems that can be an alternative to feedforward Artificial Neural Networks (ANNs) trained w...
ICTAI
1999
IEEE
14 years 28 days ago
1999
IEEE
The prevention of credit card fraud is an important application for prediction techniques. One major obstacle for using neural network training techniques is the high necessary di...
IWANN
2009
Springer
14 years 3 months ago
2009
Springer
Abstract. Microshrinkages are known as probably the most difficult defects to avoid in high-precision foundry. The presence of this failure renders the casting invalid, with the su...
IJCNN
2008
IEEE
14 years 3 months ago
2008
IEEE
— Ordinal regression is an important type of learning, which has properties of both classification and regression. Here we describe an effective approach to adapt a traditional ...
JCIT
2008
13 years 8 months ago
2008
This paper introduces a new computer-aided classification system for detection of prostate cancer in Transrectal Ultrasound images (TRUS). To increase the efficiency of the comput...