Convergent Decomposition Techniques for Training RBF Neural Networks
نویسندگان
چکیده
منابع مشابه
Effective training algorithms for RBF-neural networks
New structure and training algorithms of the RBF-type neural network are proposed. An extra neuron layer is added to realize the principal component method. A novel training algorithm is designed for training each separate neuron in the hidden layer, which guarantees the efficiency and finiteness of the training procedure. Results were obtained for a variety of problems. In particular, the resu...
متن کاملEfficient training of RBF neural networks for pattern recognition
The problem of training a radial basis function (RBF) neural network for distinguishing two disjoint sets in R(n) is considered. The network parameters can be determined by minimizing an error function that measures the degree of success in the recognition of a given number of training patterns. In this paper, taking into account the specific feature of classification problems, where the goal i...
متن کاملOptimised Training Techniques for Feedforward Neural Networks
................................................................................................................................................................. 1
متن کاملTraining without data: Knowledge Insertion into RBF Neural Networks
Often, in real-world situations no actual data is available for training neural networks but the domain expert has a good idea of what to expect in terms of input and output parameter values. If the expert can express these relationships in the form of rules, this would provide a resource too valuable to ignore. Fuzzy logic is used to handle the imprecision and vagueness of natural language and...
متن کاملRBF Neural Networks
An adaptive output feedback control scheme is p r e sented for output tracking of a class of continuoustime nonlinear plants. An FU3F neural network is used to adaptively compensate for the plant nonlinearities. The network weights are adapted using a Lyapunovbased design. The method uses parameter projection, control saturation, and a high-gain observer to achieve semi-global uniform ultimate ...
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: Neural Computation
سال: 2001
ISSN: 0899-7667,1530-888X
DOI: 10.1162/08997660152469396