High Performance Programming for Soft Computing by Oscar Montiel Ross, Roberto Sepulveda Cruz

By Oscar Montiel Ross, Roberto Sepulveda Cruz

This publication examines the current and way forward for smooth desktop recommendations. It explains how one can use the most recent technological instruments, reminiscent of multicore processors and photos processing devices, to enforce hugely effective clever procedure tools utilizing a basic objective machine.

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The first one can be traced back to the work where the aim was to model a biological neuron. Here McCulloch and Pitts in 1943 introduced the first neural network computing model. In 1949, Hebb’s book entitled The Organization of Behavior presented for the first time the physiological learning rule for synaptic modification. This book was an important source of inspiration that contributed to the development of new computational models of learning and adaptive systems. Many other important works were published and it is impossible to cite all of them here; however, some works that held our attention are: Ashby’s book entitled Design for a Brain: The Origin of Adaptive Behaviors (Ashby 1960); Minsky’s doctorate thesis entitled Theory of Neural-Analog Reinforcement Systems and Its Applications to the Brain-Model Problem published in 1954; as well as other works by Minsky, such as Steps Toward Artificial Intelligence and Computation: Finite and Infinite Machines published in 1961 and 1967, respectively.

And C. Wagner (2012). Towards the Widespread Use of Type-2 Fuzzy Logic Systems in Real World Applications. IEEE Computational Intelligence Magazine. Fundamentals of Soft Computing 31 Haykin, S. (1999). Neural Networks. A Comprehensive Fundation. Second Edition. Upper Saddle River, New Jersey: Prentice Hall. Haykin, S. (1999). Neural Networks: A Guided Tour. K. M. Gupta, Soft Computing and Intelligent Systems. Theory and Applications. : Academic Press Series in Engineering. -T. Sun and E. Mizutani (1997).

A typical use of SRAM is the computer’s L2 cache. The SRAM can be purchased in integrated circuits (IC) in the form of DIP, or module packages similar to DIMMs. The market for SRAM is mainly reserved for electronic hobbyists and IC manufacturers, Introduction to Novel Microprocessor Architectures 47 because this kind of memory is of no practical use to the average personal computer (PC) consumer as the L2 cache in a PC cannot be upgraded. The content of a non-volatile memory is permanent; the stored data remains even after power is removed.

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