Identify Handwriting Individually Using Feed Forward Neural Networks
نویسندگان
چکیده
منابع مشابه
Identify Handwriting Individually Using Feed Forward Neural Networks
The paper justifies the necessity to use the hand writer identification using the feed forward neural networks. Identifying the authors of a handwritten sample using automatic image-based processing methods is an interesting pattern recognition problem with direct applicability in the legal and historic documents. Leading a worrisome life among the harder forms of biometrics, the identification...
متن کاملImage Compression Using Feed Forward Neural Networks
Image compression technique is used to reduce the number of its required in representing image, which helps to reduce the storage space and transmission cost. In the present research work back propagation neural network training algorithm has been used. Back propagation neural network algorithm helps to increase the performance of the system and to decrease the convergence time for the training...
متن کاملUsing CODEQ to Train Feed-forward Neural Networks
CODEQ is a new, population-based meta-heuristic algorithm that is a hybrid of concepts from chaotic search, opposition-based learning, differential evolution and quantum mechanics. CODEQ has successfully been used to solve different types of problems (e.g. constrained, integer-programming, engineering) with excellent results. In this paper, CODEQ is used to train feed-forward neural networks. T...
متن کاملTraining Feed-Forward Neural Networks Using Conjugate Gradients
Figure 2: Scatter plot of testing results vs. training results for 32-24-10 networks, late stopping. Open circles: = 0; lled circles: = 10 03 .
متن کاملLearning from Interpretation Transition using Feed-Forward Neural Networks
Understanding the evolution of dynamical systems is an ILP topic with many application domains, e.g., multi-agent systems, robotics and systems biology. In this paper, we present a method relying on an artificial neural network (NN) to learn rules describing the evolution of a dynamical system of Boolean variables. The experimental results show the potential of this approach, which opens the wa...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Intelligent Computing Research
سال: 2011
ISSN: 2042-4655
DOI: 10.20533/ijicr.2042.4655.2011.0022