Value function is usually used to deal with the reinforcement learning problems. In large or even continuous states, function approximation must be used to represent value function. Much of the current work carried out, however, has to design the structure of function approximation in advanced which cannot be adjusted during learning. In this paper, we propose a novel function approximation cal...

This study presents a side-channel analysis (SCA) attack for AES-CMAC, which is used in the controller area network (CAN) protocol in-vehicle networks. It difficult to apply conventional SCAs that focus on single round of Sboxes as case AES-CMAC/CTR because AES input values are unknown attacker owing its structure. The proposed method focuses first three rounds continuously and obtains secret k...

Kcywords: Neural networks, identification, adaptive control, robotics, CMAC

The Cerebellar Model Arithmetic Controller (CMAC) is an intelligent controller like neural networks. Different form neural networks, CMAC can be regarded as one kind of “table-look-up” learning. Research shows that by including the fuzzy concept into the cell structure of CMAC, the accuracy can be significantly improved. Such an approach is called Fuzzy CMAC (FCMAC). In this study, it will be s...

As an associative memory neural network model, the cerebellar model articulation controller (CMAC) has attractive properties of fast learning and simple computation, but its rigid structure makes it difficult to approximate certain functions. This research attempts to construct a novel neural fuzzy CMAC, in which Bayesian Ying-Yang (BYY) learning is introduced to determine the optimal fuzzy set...

Managing and storing data are crucial tasks for any industry, since they require accurate secure record-keeping. Using blockchain technology has significantly increased recently due to its capability address some of the challenges that come with traditional storage management systems. In this paper, we will explore use Ethereum smart contracts powered by Solidity programming language using AES-...

A new design scheme for the Cerebellar Model Articular Controller (CMAC) is presented in this article. The controller is designed with a content addressable memory (CAM) that replaces the function of the hash-coding method, which is adopted by the traditional CMAC and consumes much computation power in memory space mapping. Therefore, address mapping in the proposed CMAC is different from the h...

This paper deals with some important questions of the binary CMAC neural networks. CMAC which belongs to the family of feed-forward networks with a single linear trainable layer has some attractive features. The most important ones are its extremely fast learning capability and the special architecture that lets e ective digital hardware implementation possible. Although the CMAC architecture w...

Este trabajo utiliza la técnica de tabla decisiones con variables entrada Morosidad, ROE, Z2 Altman, y el grado relación Morosidad-Z2 ROE-Z2 para medir eficiencia del desempeño financiero las Cajas Municipales Ahorro Crédito (CMAC) en una muestra seis entidades activos superiores a S/2 billones (2 Soles). Los hallazgos empíricos muestran que CMAC Huancayo, Arequipa, Cusco Piura logran destacar ...

The conventional fuzzy CMAC can be viewed as a basis function network with supervised learning, and performs well in terms of its fast learning speed and local generalization capability for approximating nonlinear functions. However,it requires an enormous memory and the dimension increase exponentially with the input number. Hierarchical fuzzy CMAC (HFCMAC) can use less memory to model nonline...