.... The analysis indicated that the application of DL in finance has been on an upward track since 2017. The authors find four broad research areas (neural networks and stock market simulations; portfolio optimization and risk management; time series analysis and forecasting; high-frequency trading) with different...

... SEC)     compute the distance d between pixels A and B ;     save (d , coordinate of pixel A , coordinate of pixel B) in array D ; © Emerald Group Publishing Limited 2014 Neural networks Data set size...

... with capability to acquire the obstacle avoidance, target localization, decision‐making and action behaviors after learning and adaptation. This approach uses three neural networks (NN) and fuzzy logic (FL) controller to achieve the desired task. The NNs corresponding to the obstacle avoidance and target...

... intelligence, Cybernetics, Neural networks Verification and validation (V&V) of software is a subject where any authoritative text will be welcomed by practitioners. This book has the backing of the IEEE Standard for Software Verification which is referenced as IEEE Std 1012-1998 and contains...

...C.J.H. Mann © Emerald Group Publishing Limited 2006 --> Cybernetics Neural networks Systems William A. Sandham and Miles Legett (Eds)Kluwer Academic Publishers Dordrecht 2004ISBN1-4020-1729-4xxi. 324 pp Keywords: Cybernetics, Neural networks, Systems...

... finger posture given its desired fingertip position. This motor function is fulfilled by a modular neural network architecture that tackles the discontinuity problem of inverse kinematics function (called Fingers Configuration Neural Network (FCNN)). Following the concept of direct associative learning...

...Lale O¨zylmaz; Tu¨lay Yldrm This paper details how the complexity can be reduced in conic section function neural network (CSFNN) by using sensitivity analysis and the results are given for various problems. This is, particularly important for neural network hardware applications. The method used...

... σ – subalgebras of B(X) with Equation 7 Cybernetics Cognition Evolution Neural networks The theory of abstract neural automata (ANA) (Guangcheng, 1996) has been proposed in our past work. It differs from previous neural networks in that it is formed in finite number...

... the construction of the computational hierarchy with the ant paradigm and smart agents. © MCB UP Limited 2002 Intelligence Optimization Cybernetics Neural networks The idea of computing with a swarm of simple agents can be developed in the direction of using enormously large numbers...

... of the stochastic nature of the froth structures and the ill‐defined chemorheology of these systems. In this paper a hierarchical configuration hybrid neural network has been used to interpret froth images in a copper flotation process. This hierarchical neural network uses two Pulse‐Coupled Neural Networks (PCNNs...

... and the potential. Let us introduce the following lattice: © MCB UP Limited 2002 Cybernetics Neural networks By means of learning (including perception, memory), the human brain produces a concept. Before ideology emerged, the concept is the highest result of a human's brain activity...

...Alejandro B. Engel The area of artificial neural networks, which dates back to the early twentieth century, could only offer positive contributions to technology after the back‐propagation algorithm was proposed in 1986. In this note an alternative algorithm to the gradient descent used in back...

...Emilie A. Saci; Yves Cherruault The genicAgent is a particularly original multi‐agent approach that integrates an intelligent technique – neural networks. Genetic algorithms are used to evolve the genicAgent. This approach has the individual advantages of each separate intelligent technique...

...Yukio Ito Considers an application of adaptive control policy to dynamic input‐output systems of Japanese large‐scale industrial (primary, secondary and tertiary) sectors by neural networks. The adaptive control policy has three steps. The first is to obtain the optimal control policy...

...Y. Cisse; Y. Kinouch; H. Nagashino; M. Akutagawa Biological oscillatory activity in neural networks has been intensively studied over the past years. Neuronal oscillations are the basis of many different behavioral patterns and sensory mechanism. Understanding the dynamic properties...

... the outside by using the informational thesaurus of the message receiver. References Bertalanffy , L . (1932), Theoretische Biologie , Berlin . Braham , R . and Houblen , J.O . (1990), “ The design of a neural network with a biologically motivated architecture ”, IEEE Trans...

... . (1975), “ Fuzzy neural networks ”, Mathematical Biosciences , Vol. 23 , pp. 151 ‐ 77. ...

...Brennig James Keywords: Consciousness, Neural networks, Brain Editor's note: Communications and forum contributions are not sent to referees and consequently will be available to readers much more quickly. Comments and alternative viewpoints on all matters pertaining...

...Alex M. Andrew Publication Brain Neural networks Cybernetics Artificial intelligence This is an extremely impressive piece of work. Its size alone makes it outstanding, with the large number of pages shown, of almost A4 size; hence quite a tome. The pages are well filled, mostly...

... is called potential (see equation 10) where c is a constant, the chemical potential. ANA and its distribution are called Gibbs, if its conditional distribution is given by equation (8). Neural networks Cybernetics Genetics Evolution strategies The theory of abstract neural...