![Loading...](https://link.springer.com/static/c4a417b97a76cc2980e3c25e2271af3129e08bbe/images/pdf-preview/spacer.gif)
370 Result(s)
-
Chapter and Conference Paper
Tracking Rain Cells in Radar Images using Multilayer Neural Networks
Very short-term forecasting of rainfall amounts on small watersheds can be achieved by extrapolating the advection of rain cells perceived as “echoes” on weather radar images. Pattern recognition oriented appr...
-
Chapter and Conference Paper
A new nonlinear shape normalization method for off-line handwritten Chinese character recognition
How to correct the shape variations of handwritten Chinese characters is very important in off-line handwritten Chinese character recognition. In order to get rid of shape variations and reduce within-category...
-
Chapter and Conference Paper
Combinatorial coarse classification method for OLCCR
This paper presents a new coarse classification method based on combination of two independent approaches for on-line Chinese character recognition (OLCCR). Through introducing a feedback control provided by t...
-
Chapter and Conference Paper
Evaluation and application of recognition confidence in OCR
Recognition confidence plays an important role in the selection of rejection threshold and the combination of multiple classifiers. In this paper, we first present a systematic theory on classifier's confidenc...
-
Chapter and Conference Paper
Image Pattern Recognition Based on Examples— A Combined Statistical and Structural-Syntactic Approach
An application of combined statistical and structural-syntactic approach in Chinese character recognition is presented. The algorithm adopts a structural representation for Chinese characters, but in the class...
-
Chapter and Conference Paper
Non-linear Prediction of Vibration Series for Turbogenerator Unit
A model for predicting vibration series of turbogenerator unit is proposed by combining ANNs techniques with non-linear phase space reconstruction. Such established model doesn’t make any hypothesis to history...
-
Chapter and Conference Paper
Weather Forecasting System Based on Satellite Imageries Using Neuro-fuzzy Techniques
We have built an automated Satellite Images Forecasting System with Neuro-Fuzzy techniques. Firstly, Subtractive Clustering is applied on to a satellite image to extract the locations of the clouds. This is follo...
-
Chapter and Conference Paper
Face Detection Based on Cost-Sensitive Support Vector Machines
This paper presents a method of detecting faces based on cost-sensitive Support Vector Machines (SVM). In our method, different costs are given to the misclassification of having a face missed and having a fal...
-
Chapter and Conference Paper
Feature Weights Determining of Pattern Classification by Using a Rough Genetic Algorithm with Fuzzy Similarity Measure
The classification problem is one of the typical problems encountered in data mining and machine learning. In this paper, a rough genetic algorithm (RGA) is applied to the classification problem in an undeterm...
-
Chapter and Conference Paper
The Lattice Property of Fuzzy Rough Sets
In this paper we modify the result in [2], discuss the lattice property of fuzzy rough sets and introduce lattice isomorphism from the equivalence class of fuzzy rough sets to intuitionistic fuzzy sets. The resul...
-
Chapter and Conference Paper
A Real-Time Multisensory Image Segmentation Algorithm with an Application to Visual and X-Ray Inspection
A new multisensory image segmentation algorithm is presented. In this algorithm, the images from different sensors are segmented in a sequential manner using curve evolution methods. There are no fusion rules ...
-
Chapter and Conference Paper
Optimal Production Policy for a Volume-Flexibility Supply-Chain System
A production-delivery system in a supply chain is always expected to reduce its overall production and management cost. In this research, a decision-making model is developed for optimal production rate select...
-
Chapter and Conference Paper
Model and Convergence for the Combination of Genetic Algorithm and Ant Algorithm
Although genetic algorithm (GA) has the ability to do quick and stochastic global search, it can’t efficiently use the output information for systems. Ant algorithm (AA), on the other hand, is a parallel-proce...
-
Chapter and Conference Paper
Binocular 3D Reconstruction Based on Neural Network
This paper introduces the computer vision to 3D reconstruction of the object. A novel method is developed, which adopts the digital camera as the sensor and uses the techniques of image processing and vision c...
-
Chapter and Conference Paper
Parallel Feedforward Process Neural Network with Time-Varying Input and Output Functions
In reality, the inputs and outputs of many complicated systems are time-varied functions. However, conventional artificial neural networks are not suitable to solving such problems. In order to overcome this l...
-
Chapter and Conference Paper
A Novel Intelligent Controller Based on Modulation of Neuroendocrine System
Based on the modulation of neuroendocrine system and the hypothalamo-pituitary-adrenal axis model, we present a novel intelligent controller (NEIC). The NEIC, with a typical two-level structure, is composed of...
-
Chapter and Conference Paper
PENCIL: A Framework for Expressing Free-Hand Sketching in 3D
This paper presents a framework for expressing free-hand sketching in 3D for conceptual design input. In the framework, sketch outlines will be recognized as formal rigid shapes first. Then under a group of ge...
-
Chapter and Conference Paper
Comparative Study on Engine Torque Modelling Using Different Neural Networks
In this paper, modelling the torque of a variable valve timing (VVT) spark ignition (SI) engine is studied using multilayer Perceptron (MLP), radial basis function (RBF) and local linear model tree (LOLIMOT) n...
-
Chapter and Conference Paper
Fault Tolerant Control of Nonlinear Processes with Adaptive Diagonal Recurrent Neural Network Model
Fault tolerant control (FTC) using an adaptive recurrent neural network model is developed in this paper. The model adaptation is achieved with the extended Kalman filter (EKF). A novel recursive algorithm is ...
-
Chapter and Conference Paper
Segmentation of 3D CT Volume Images Using a Single 2D Atlas
Segmentation of medical images is an important first step in the analysis of medical images. A lot of research has been performed on the segmentation of complex CT/MR images using the atlas-based approach. Mos...