Multilayered neural networks are used as statistical models in data analysis, because of their ability in approximation of nonlinear systems. It is an important problem to select appropriate numbers of neurons in each layer for captur ing features of data. Though this is a popular problem for ...
The development of fully autonomous algorithms which are capable of selecting and training the feedforward neural network with the best performance for a given application is presented. The proposed learning algorithms determine the architecture of multilayered neural networks while performing their training...
multilayer perceptrons/ neural network architectureinverse kinematics problemrobot complexityrobotics manipulatorsmultilayered perceptronOne of the most important problems in robot kinematics and control is, finding the solution of Inverse Kinematics. Inverse kinematics computation has been one of the main ...
The neural network is a relatively new processing model for the GAPP, but one that readily maps onto the architecture of the overall array processor. The proof-of-concept neural network is a multilayered perceptron model which uses the back-propagation learning paradigm. This initial network has...
Multilayered neural network for power series‐based approximation of fractional delay differential equations This paper trains a multilayered neural network (MLNN) for solving fractional delay differential equations (FDDEs), including nonlinear and singular types... M Kumar,S Kumar,K Kumar,... - 《...
The explosive growth of generative AI drives the multicloud model. But be prepared because it’s going to cost more money.
With the ability to effectively model variable-length sequence data and to produce fixed-length embeddings, the seq2seq autoencoder has achieved state of the art results in numerous applications. In [56], a general end-to-end multilayered long short-term memory (LSTM) based autoencoder is pro...
Multilayered fuzzy behavior fusion for real-time reactive control of systems with multiple sensors Fuzzy linguistic rules provide an intuitive and powerful means for defining control behavior. Most applications that use fuzzy control feature a single lay... Goodridge, S.G.,Kay, M.G.,Luo, R.C....
Performance of a Reversible Hierarchical Cellular System. In order to provide mobile worldwidecommunication services, cellular systems can be based ona multilayered, multisized cells architecturecharacterized by t... R Beraldi,S Marano,C Mastroianni - 《International Journal of Wireless Information Networ...
In this framework, the two-stage reaction cascade of Fig- ure 2 represents a logical repeater. The input is the signal a∗b∗c∗, and the output is e∗f ∗g∗. Multi-input logic can be implemented through the use of multiple strand gate complexes. The AND gate by Solove...